KawPow WIP

This commit is contained in:
SChernykh 2020-05-24 23:57:41 +02:00
parent 07025dc41b
commit 22b937cc1c
88 changed files with 11004 additions and 8383 deletions

View file

@ -41,7 +41,7 @@ class WorkerJob
{
public:
inline const Job &currentJob() const { return m_jobs[index()]; }
inline uint32_t *nonce(size_t i = 0) { return reinterpret_cast<uint32_t*>(blob() + (i * currentJob().size()) + 39); }
inline uint32_t *nonce(size_t i = 0) { return reinterpret_cast<uint32_t*>(blob() + (i * currentJob().size()) + nonce_offset()); }
inline uint64_t sequence() const { return m_sequence; }
inline uint8_t *blob() { return m_blobs[index()]; }
inline uint8_t index() const { return m_index; }
@ -88,6 +88,9 @@ public:
private:
inline int32_t nonce_offset() const { return currentJob().nonce_offset(); }
inline size_t nonce_size() const { return currentJob().nonce_size(); }
inline void save(const Job &job, uint32_t reserveCount, Nonce::Backend backend)
{
m_index = job.index();
@ -115,7 +118,7 @@ private:
template<>
inline uint32_t *xmrig::WorkerJob<1>::nonce(size_t)
{
return reinterpret_cast<uint32_t*>(blob() + 39);
return reinterpret_cast<uint32_t*>(blob() + nonce_offset());
}
@ -125,11 +128,22 @@ inline bool xmrig::WorkerJob<1>::nextRound(uint32_t rounds, uint32_t roundSize)
bool ok = true;
m_rounds[index()]++;
uint32_t* n = nonce();
const uint32_t prev_nonce = *n;
if ((m_rounds[index()] % rounds) == 0) {
*nonce() = Nonce::next(index(), *nonce(), rounds * roundSize, currentJob().isNicehash(), &ok);
*n = Nonce::next(index(), *n, rounds * roundSize, currentJob().isNicehash(), &ok);
}
else {
*nonce() += roundSize;
*n += roundSize;
}
// Increment higher 32 bits of a 64-bit nonce when lower 32 bits overflow
if (!currentJob().isNicehash() && (nonce_size() == sizeof(uint64_t)) && (*n < prev_nonce)) {
++n[1];
Job& job = m_jobs[index()];
memcpy(job.blob(), blob(), job.size());
}
return ok;

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@ -60,10 +60,6 @@ size_t inline generate<Algorithm::CN>(Threads<CpuThreads> &threads, uint32_t lim
++count;
}
# ifdef XMRIG_ALGO_CN_GPU
count += generate("cn/gpu", threads, Algorithm::CN_GPU, limit);
# endif
return count;
}

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@ -148,15 +148,7 @@ bool xmrig::CpuWorker<N>::selfTest()
verify(Algorithm::CN_ZLS, test_output_zls) &&
verify(Algorithm::CN_DOUBLE, test_output_double);
# ifdef XMRIG_ALGO_CN_GPU
if (!rc || N > 1) {
return rc;
}
return verify(Algorithm::CN_GPU, test_output_gpu);
# else
return rc;
# endif
}
# ifdef XMRIG_ALGO_CN_LITE

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@ -76,12 +76,6 @@ xmrig::CpuThreads xmrig::AdvancedCpuInfo::threads(const Algorithm &algorithm, ui
return 1;
}
# ifdef XMRIG_ALGO_CN_GPU
if (algorithm == Algorithm::CN_GPU) {
return CpuThreads(threads());
}
# endif
size_t cache = 0;
size_t count = 0;

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@ -212,12 +212,6 @@ xmrig::CpuThreads xmrig::BasicCpuInfo::threads(const Algorithm &algorithm, uint3
return 1;
}
# ifdef XMRIG_ALGO_CN_GPU
if (algorithm == Algorithm::CN_GPU) {
return count;
}
# endif
# ifdef XMRIG_ALGO_CN_LITE
if (algorithm.family() == Algorithm::CN_LITE) {
return CpuThreads(count, 1);

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@ -318,12 +318,6 @@ void xmrig::HwlocCpuInfo::processTopLevelCache(hwloc_obj_t cache, const Algorith
}
# endif
# ifdef XMRIG_ALGO_CN_GPU
if (algorithm == Algorithm::CN_GPU) {
cacheHashes = PUs;
}
# endif
# ifdef XMRIG_ALGO_RANDOMX
if (extra == 0 && algorithm.l2() > 0) {
cacheHashes = std::min<size_t>(std::max<size_t>(L2 / algorithm.l2(), cores.size()), cacheHashes);

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@ -181,6 +181,7 @@ void xmrig::CudaConfig::generate()
count += xmrig::generate<Algorithm::CN_PICO>(m_threads, devices);
count += xmrig::generate<Algorithm::RANDOM_X>(m_threads, devices);
count += xmrig::generate<Algorithm::ASTROBWT>(m_threads, devices);
count += xmrig::generate<Algorithm::KAWPOW>(m_threads, devices);
generated = true;
m_shouldSave = count > 0;

View file

@ -64,10 +64,6 @@ size_t inline generate<Algorithm::CN>(Threads<CudaThreads> &threads, const std::
count++;
}
# ifdef XMRIG_ALGO_CN_GPU
count += generate("cn/gpu", threads, Algorithm::CN_GPU, devices);
# endif
return count;
}
@ -145,6 +141,15 @@ size_t inline generate<Algorithm::ASTROBWT>(Threads<CudaThreads> &threads, const
#endif
#ifdef XMRIG_ALGO_KAWPOW
template<>
size_t inline generate<Algorithm::KAWPOW>(Threads<CudaThreads> &threads, const std::vector<CudaDevice> &devices)
{
return generate("kawpow", threads, Algorithm::KAWPOW_RVN, devices);
}
#endif
} /* namespace xmrig */

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@ -44,6 +44,11 @@
#endif
#ifdef XMRIG_ALGO_KAWPOW
# include "backend/cuda/runners/CudaKawPowRunner.h"
#endif
#include <cassert>
#include <thread>
@ -84,6 +89,12 @@ xmrig::CudaWorker::CudaWorker(size_t id, const CudaLaunchData &data) :
# endif
break;
case Algorithm::KAWPOW:
# ifdef XMRIG_ALGO_KAWPOW
m_runner = new CudaKawPowRunner(id, data);
# endif
break;
default:
m_runner = new CudaCnRunner(id, data);
break;
@ -138,7 +149,7 @@ void xmrig::CudaWorker::start()
}
while (!Nonce::isOutdated(Nonce::CUDA, m_job.sequence())) {
uint32_t foundNonce[10] = { 0 };
uint32_t foundNonce[16] = { 0 };
uint32_t foundCount = 0;
if (!m_runner->run(*m_job.nonce(), &foundCount, foundNonce)) {
@ -150,7 +161,7 @@ void xmrig::CudaWorker::start()
}
const size_t batch_size = intensity();
if (!m_job.nextRound(roundSize(batch_size), batch_size)) {
if (!Nonce::isOutdated(Nonce::CUDA, m_job.sequence()) && !m_job.nextRound(roundSize(batch_size), batch_size)) {
JobResults::done(m_job.currentJob());
}
@ -174,7 +185,7 @@ bool xmrig::CudaWorker::consumeJob()
const size_t batch_size = intensity();
m_job.add(m_miner->job(), roundSize(batch_size) * batch_size, Nonce::CUDA);
return m_runner->set(m_job.currentJob(), m_job.blob());;
return m_runner->set(m_job.currentJob(), m_job.blob());
}

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@ -52,6 +52,11 @@ if (WITH_CUDA)
list(APPEND HEADERS_BACKEND_CUDA src/backend/cuda/runners/CudaAstroBWTRunner.h)
list(APPEND SOURCES_BACKEND_CUDA src/backend/cuda/runners/CudaAstroBWTRunner.cpp)
endif()
if (WITH_KAWPOW)
list(APPEND HEADERS_BACKEND_CUDA src/backend/cuda/runners/CudaKawPowRunner.h)
list(APPEND SOURCES_BACKEND_CUDA src/backend/cuda/runners/CudaKawPowRunner.cpp)
endif()
else()
remove_definitions(/DXMRIG_FEATURE_CUDA)
remove_definitions(/DXMRIG_FEATURE_NVML)

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@ -27,8 +27,6 @@
#include "backend/cuda/CudaLaunchData.h"
#include "backend/cuda/wrappers/CudaLib.h"
#include "base/net/stratum/Job.h"
#include "crypto/rx/Rx.h"
#include "crypto/rx/RxDataset.h"
constexpr uint32_t xmrig::CudaAstroBWTRunner::BWT_DATA_STRIDE;

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@ -0,0 +1,78 @@
/* XMRig
* Copyright 2010 Jeff Garzik <jgarzik@pobox.com>
* Copyright 2012-2014 pooler <pooler@litecoinpool.org>
* Copyright 2014 Lucas Jones <https://github.com/lucasjones>
* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
* Copyright 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2020 XMRig <https://github.com/xmrig>, <support@xmrig.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "backend/cuda/runners/CudaKawPowRunner.h"
#include "backend/cuda/CudaLaunchData.h"
#include "backend/cuda/wrappers/CudaLib.h"
#include "base/io/log/Log.h"
#include "base/net/stratum/Job.h"
#include "base/tools/Chrono.h"
#include "crypto/kawpow/KPCache.h"
#include "crypto/kawpow/KPHash.h"
#include "3rdparty/libethash/data_sizes.h"
xmrig::CudaKawPowRunner::CudaKawPowRunner(size_t index, const CudaLaunchData &data) :
CudaBaseRunner(index, data)
{
}
bool xmrig::CudaKawPowRunner::run(uint32_t /*startNonce*/, uint32_t *rescount, uint32_t *resnonce)
{
return callWrapper(CudaLib::KawPowHash(m_ctx, m_jobBlob, m_target, rescount, resnonce));
}
bool xmrig::CudaKawPowRunner::set(const Job &job, uint8_t *blob)
{
if (!CudaBaseRunner::set(job, blob)) {
return false;
}
m_jobBlob = blob;
const uint64_t height = job.height();
const uint32_t epoch = height / KPHash::EPOCH_LENGTH;
KPCache& cache = KPCache::s_cache;
{
std::lock_guard<std::mutex> lock(KPCache::s_cacheMutex);
cache.init(epoch);
}
const uint64_t start_ms = Chrono::steadyMSecs();
const bool result = CudaLib::KawPowPrepare(m_ctx, cache.data(), cache.size(), cache.dag_size(epoch), height, dag_sizes);
const int64_t dt = Chrono::steadyMSecs() - start_ms;
if (dt > 500) {
LOG_INFO("KawPow DAG for epoch %u calculated (%" PRIu64 " ms)", epoch, dt);
}
return result;
}

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@ -5,8 +5,8 @@
* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
* Copyright 2018-2019 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2019 XMRig <https://github.com/xmrig>, <support@xmrig.com>
* Copyright 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2020 XMRig <https://github.com/xmrig>, <support@xmrig.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
@ -22,28 +22,31 @@
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef XMRIG_CN2RYOKERNEL_H
#define XMRIG_CN2RYOKERNEL_H
#ifndef XMRIG_CUDAKAWPOWRUNNER_H
#define XMRIG_CUDAKAWPOWRUNNER_H
#include "backend/opencl/wrappers/OclKernel.h"
#include "backend/cuda/runners/CudaBaseRunner.h"
namespace xmrig {
class Cn2RyoKernel : public OclKernel
class CudaKawPowRunner : public CudaBaseRunner
{
public:
inline Cn2RyoKernel(cl_program program) : OclKernel(program, "cn2") {}
CudaKawPowRunner(size_t index, const CudaLaunchData &data);
void enqueue(cl_command_queue queue, uint32_t nonce, size_t threads);
void setArgs(cl_mem scratchpads, cl_mem states, cl_mem output, uint32_t threads);
void setTarget(uint64_t target);
protected:
bool run(uint32_t startNonce, uint32_t *rescount, uint32_t *resnonce) override;
bool set(const Job &job, uint8_t *blob) override;
private:
uint8_t* m_jobBlob;
};
} // namespace xmrig
} /* namespace xmrig */
#endif /* XMRIG_CN2RYOKERNEL_H */
#endif // XMRIG_CUDAKAWPOWRUNNER_H

View file

@ -29,6 +29,7 @@
#include "backend/cuda/wrappers/CudaLib.h"
#include "base/io/Env.h"
#include "base/io/log/Log.h"
#include "crypto/rx/RxAlgo.h"
@ -64,9 +65,10 @@ static const char *kPluginVersion = "pluginVersion";
static const char *kRelease = "release";
static const char *kRxHash = "rxHash";
static const char *kRxPrepare = "rxPrepare";
static const char *kKawPowHash = "KawPowHash";
static const char *kKawPowPrepare = "KawPowPrepare";
static const char *kSetJob = "setJob";
static const char *kSetJob_v2 = "setJob_v2";
static const char *kSymbolNotFound = "symbol not found";
static const char *kVersion = "version";
@ -88,6 +90,8 @@ using pluginVersion_t = const char * (*)();
using release_t = void (*)(nvid_ctx *);
using rxHash_t = bool (*)(nvid_ctx *, uint32_t, uint64_t, uint32_t *, uint32_t *);
using rxPrepare_t = bool (*)(nvid_ctx *, const void *, size_t, bool, uint32_t);
using KawPowHash_t = bool (*)(nvid_ctx *, uint8_t*, uint64_t, uint32_t *, uint32_t *);
using KawPowPrepare_t = bool (*)(nvid_ctx *, const void *, size_t, size_t, uint32_t, const uint64_t*);
using setJob_t = bool (*)(nvid_ctx *, const void *, size_t, int32_t);
using setJob_v2_t = bool (*)(nvid_ctx *, const void *, size_t, const char *);
using version_t = uint32_t (*)(Version);
@ -111,12 +115,14 @@ static pluginVersion_t pPluginVersion = nullptr;
static release_t pRelease = nullptr;
static rxHash_t pRxHash = nullptr;
static rxPrepare_t pRxPrepare = nullptr;
static KawPowHash_t pKawPowHash = nullptr;
static KawPowPrepare_t pKawPowPrepare = nullptr;
static setJob_t pSetJob = nullptr;
static setJob_v2_t pSetJob_v2 = nullptr;
static version_t pVersion = nullptr;
#define DLSYM(x) if (uv_dlsym(&cudaLib, k##x, reinterpret_cast<void**>(&p##x)) == -1) { throw std::runtime_error(kSymbolNotFound); }
#define DLSYM(x) if (uv_dlsym(&cudaLib, k##x, reinterpret_cast<void**>(&p##x)) == -1) { throw std::runtime_error("symbol not found (" #x ")"); }
bool CudaLib::m_initialized = false;
@ -199,6 +205,18 @@ bool xmrig::CudaLib::rxPrepare(nvid_ctx *ctx, const void *dataset, size_t datase
}
bool xmrig::CudaLib::KawPowHash(nvid_ctx *ctx, uint8_t* job_blob, uint64_t target, uint32_t *rescount, uint32_t *resnonce) noexcept
{
return pKawPowHash(ctx, job_blob, target, rescount, resnonce);
}
bool xmrig::CudaLib::KawPowPrepare(nvid_ctx *ctx, const void* cache, size_t cache_size, size_t dag_size, uint32_t height, const uint64_t* dag_sizes) noexcept
{
return pKawPowPrepare(ctx, cache, cache_size, dag_size, height, dag_sizes);
}
bool xmrig::CudaLib::setJob(nvid_ctx *ctx, const void *data, size_t size, const Algorithm &algorithm) noexcept
{
const Algorithm algo = RxAlgo::id(algorithm);
@ -323,7 +341,7 @@ bool xmrig::CudaLib::load()
return false;
}
if (pVersion(ApiVersion) != 3u) {
if (pVersion(ApiVersion) != 6u) {
return false;
}
@ -347,6 +365,8 @@ bool xmrig::CudaLib::load()
DLSYM(RxPrepare);
DLSYM(AstroBWTHash);
DLSYM(AstroBWTPrepare);
DLSYM(KawPowHash);
DLSYM(KawPowPrepare);
DLSYM(Version);
if (!pDeviceInfo_v2) {
@ -357,6 +377,7 @@ bool xmrig::CudaLib::load()
DLSYM(SetJob);
}
} catch (std::exception &ex) {
LOG_ERR("Error loading CUDA library: %s", ex.what());
return false;
}

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@ -80,6 +80,8 @@ public:
static bool deviceInit(nvid_ctx *ctx) noexcept;
static bool rxHash(nvid_ctx *ctx, uint32_t startNonce, uint64_t target, uint32_t *rescount, uint32_t *resnonce) noexcept;
static bool rxPrepare(nvid_ctx *ctx, const void *dataset, size_t datasetSize, bool dataset_host, uint32_t batchSize) noexcept;
static bool KawPowHash(nvid_ctx *ctx, uint8_t* job_blob, uint64_t target, uint32_t *rescount, uint32_t *resnonce) noexcept;
static bool KawPowPrepare(nvid_ctx *ctx, const void* cache, size_t cache_size, size_t dag_size, uint32_t height, const uint64_t* dag_sizes) noexcept;
static bool setJob(nvid_ctx *ctx, const void *data, size_t size, const Algorithm &algorithm) noexcept;
static const char *deviceName(nvid_ctx *ctx) noexcept;
static const char *lastError(nvid_ctx *ctx) noexcept;

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@ -221,6 +221,7 @@ void xmrig::OclConfig::generate()
count += xmrig::generate<Algorithm::CN_PICO>(m_threads, devices);
count += xmrig::generate<Algorithm::RANDOM_X>(m_threads, devices);
count += xmrig::generate<Algorithm::ASTROBWT>(m_threads, devices);
count += xmrig::generate<Algorithm::KAWPOW>(m_threads, devices);
m_shouldSave = count > 0;
}

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@ -63,10 +63,6 @@ size_t inline generate<Algorithm::CN>(Threads<OclThreads> &threads, const std::v
count++;
}
# ifdef XMRIG_ALGO_CN_GPU
count += generate("cn/gpu", threads, Algorithm::CN_GPU, devices);
# endif
return count;
}
@ -139,6 +135,15 @@ size_t inline generate<Algorithm::ASTROBWT>(Threads<OclThreads>& threads, const
#endif
#ifdef XMRIG_ALGO_KAWPOW
template<>
size_t inline generate<Algorithm::KAWPOW>(Threads<OclThreads>& threads, const std::vector<OclDevice>& devices)
{
return generate("kawpow", threads, Algorithm::KAWPOW_RVN, devices);
}
#endif
static inline std::vector<OclDevice> filterDevices(const std::vector<OclDevice> &devices, const std::vector<uint32_t> &hints)
{
std::vector<OclDevice> out;

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@ -51,20 +51,6 @@ public:
setIntensity(intensity);
}
# ifdef XMRIG_ALGO_CN_GPU
OclThread(uint32_t index, uint32_t intensity, uint32_t worksize, uint32_t threads, uint32_t unrollFactor) :
m_fields(0),
m_threads(threads, -1),
m_index(index),
m_memChunk(0),
m_stridedIndex(0),
m_unrollFactor(unrollFactor),
m_worksize(worksize)
{
setIntensity(intensity);
}
# endif
# ifdef XMRIG_ALGO_RANDOMX
OclThread(uint32_t index, uint32_t intensity, uint32_t worksize, uint32_t threads, bool gcnAsm, bool datasetHost, uint32_t bfactor) :
m_datasetHost(datasetHost),
@ -81,7 +67,7 @@ public:
}
# endif
# ifdef XMRIG_ALGO_ASTROBWT
# if defined XMRIG_ALGO_ASTROBWT || defined XMRIG_ALGO_KAWPOW
OclThread(uint32_t index, uint32_t intensity, uint32_t threads) :
m_fields(4),
m_threads(threads, -1),

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@ -45,11 +45,10 @@
# include "backend/opencl/runners/OclAstroBWTRunner.h"
#endif
#ifdef XMRIG_ALGO_CN_GPU
# include "backend/opencl/runners/OclRyoRunner.h"
#ifdef XMRIG_ALGO_KAWPOW
# include "backend/opencl/runners/OclKawPowRunner.h"
#endif
#include <cassert>
#include <thread>
@ -106,16 +105,14 @@ xmrig::OclWorker::OclWorker(size_t id, const OclLaunchData &data) :
# endif
break;
default:
# ifdef XMRIG_ALGO_CN_GPU
if (m_algorithm == Algorithm::CN_GPU) {
m_runner = new OclRyoRunner(id, data);
}
else
case Algorithm::KAWPOW:
# ifdef XMRIG_ALGO_KAWPOW
m_runner = new OclKawPowRunner(id, data);
# endif
{
m_runner = new OclCnRunner(id, data);
}
break;
default:
m_runner = new OclCnRunner(id, data);
break;
}
@ -198,7 +195,7 @@ void xmrig::OclWorker::start()
JobResults::submit(m_job.currentJob(), results, results[0xFF]);
}
if (!m_job.nextRound(roundSize(runnerRoundSize), runnerRoundSize)) {
if (!Nonce::isOutdated(Nonce::OPENCL, m_job.sequence()) && !m_job.nextRound(roundSize(runnerRoundSize), runnerRoundSize)) {
JobResults::done(m_job.currentJob());
}

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@ -28,10 +28,6 @@
#include "base/crypto/Algorithm.h"
#ifdef XMRIG_ALGO_CN_GPU
# include "backend/opencl/cl/cn/cryptonight_gpu_cl.h"
#endif
#ifdef XMRIG_ALGO_RANDOMX
# include "backend/opencl/cl/rx/randomx_cl.h"
#endif
@ -40,6 +36,11 @@
# include "backend/opencl/cl/astrobwt/astrobwt_cl.h"
#endif
#ifdef XMRIG_ALGO_KAWPOW
# include "backend/opencl/cl/kawpow/kawpow_cl.h"
# include "backend/opencl/cl/kawpow/kawpow_dag_cl.h"
#endif
const char *xmrig::OclSource::get(const Algorithm &algorithm)
{
@ -55,9 +56,9 @@ const char *xmrig::OclSource::get(const Algorithm &algorithm)
}
# endif
# ifdef XMRIG_ALGO_CN_GPU
if (algorithm == Algorithm::CN_GPU) {
return cryptonight_gpu_cl;
# ifdef XMRIG_ALGO_KAWPOW
if (algorithm.family() == Algorithm::KAWPOW) {
return kawpow_dag_cl;
}
# endif

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@ -9,23 +9,23 @@
#define ALGO_CN_RWZ 8
#define ALGO_CN_ZLS 9
#define ALGO_CN_DOUBLE 10
#define ALGO_CN_GPU 11
#define ALGO_CN_LITE_0 12
#define ALGO_CN_LITE_1 13
#define ALGO_CN_HEAVY_0 14
#define ALGO_CN_HEAVY_TUBE 15
#define ALGO_CN_HEAVY_XHV 16
#define ALGO_CN_PICO_0 17
#define ALGO_CN_PICO_TLO 18
#define ALGO_RX_0 19
#define ALGO_RX_WOW 20
#define ALGO_RX_LOKI 21
#define ALGO_RX_ARQMA 22
#define ALGO_RX_SFX 23
#define ALGO_RX_KEVA 24
#define ALGO_AR2_CHUKWA 25
#define ALGO_AR2_WRKZ 26
#define ALGO_ASTROBWT_DERO 27
#define ALGO_CN_LITE_0 11
#define ALGO_CN_LITE_1 12
#define ALGO_CN_HEAVY_0 13
#define ALGO_CN_HEAVY_TUBE 14
#define ALGO_CN_HEAVY_XHV 15
#define ALGO_CN_PICO_0 16
#define ALGO_CN_PICO_TLO 17
#define ALGO_RX_0 18
#define ALGO_RX_WOW 19
#define ALGO_RX_LOKI 20
#define ALGO_RX_ARQMA 21
#define ALGO_RX_SFX 22
#define ALGO_RX_KEVA 23
#define ALGO_AR2_CHUKWA 24
#define ALGO_AR2_WRKZ 25
#define ALGO_ASTROBWT_DERO 26
#define ALGO_KAWPOW_RVN 27
#define FAMILY_UNKNOWN 0
#define FAMILY_CN 1
@ -35,3 +35,4 @@
#define FAMILY_RANDOM_X 5
#define FAMILY_ARGON2 6
#define FAMILY_ASTROBWT 7
#define FAMILY_KAWPOW 8

File diff suppressed because it is too large Load diff

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@ -1,520 +0,0 @@
#include "wolf-aes.cl"
#include "keccak.cl"
inline uint getIdx()
{
return get_global_id(0) - get_global_offset(0);
}
#define IDX(x) (x)
inline float4 _mm_add_ps(float4 a, float4 b)
{
return a + b;
}
inline float4 _mm_sub_ps(float4 a, float4 b)
{
return a - b;
}
inline float4 _mm_mul_ps(float4 a, float4 b)
{
return a * b;
}
inline float4 _mm_div_ps(float4 a, float4 b)
{
return a / b;
}
inline float4 _mm_and_ps(float4 a, int b)
{
return as_float4(as_int4(a) & (int4)(b));
}
inline float4 _mm_or_ps(float4 a, int b)
{
return as_float4(as_int4(a) | (int4)(b));
}
inline float4 _mm_fmod_ps(float4 v, float dc)
{
float4 d = (float4)(dc);
float4 c = _mm_div_ps(v, d);
c = trunc(c);
c = _mm_mul_ps(c, d);
return _mm_sub_ps(v, c);
}
inline int4 _mm_xor_si128(int4 a, int4 b)
{
return a ^ b;
}
inline float4 _mm_xor_ps(float4 a, int b)
{
return as_float4(as_int4(a) ^ (int4)(b));
}
inline int4 _mm_alignr_epi8(int4 a, const uint rot)
{
const uint right = 8 * rot;
const uint left = (32 - 8 * rot);
return (int4)(
((uint)a.x >> right) | ( a.y << left ),
((uint)a.y >> right) | ( a.z << left ),
((uint)a.z >> right) | ( a.w << left ),
((uint)a.w >> right) | ( a.x << left )
);
}
inline global int4* scratchpad_ptr(uint idx, uint n, __global int *lpad) { return (__global int4*)((__global char*)lpad + (idx & MASK) + n * 16); }
inline float4 fma_break(float4 x)
{
// Break the dependency chain by setitng the exp to ?????01
x = _mm_and_ps(x, 0xFEFFFFFF);
return _mm_or_ps(x, 0x00800000);
}
inline void sub_round(float4 n0, float4 n1, float4 n2, float4 n3, float4 rnd_c, float4* n, float4* d, float4* c)
{
n1 = _mm_add_ps(n1, *c);
float4 nn = _mm_mul_ps(n0, *c);
nn = _mm_mul_ps(n1, _mm_mul_ps(nn,nn));
nn = fma_break(nn);
*n = _mm_add_ps(*n, nn);
n3 = _mm_sub_ps(n3, *c);
float4 dd = _mm_mul_ps(n2, *c);
dd = _mm_mul_ps(n3, _mm_mul_ps(dd,dd));
dd = fma_break(dd);
*d = _mm_add_ps(*d, dd);
//Constant feedback
*c = _mm_add_ps(*c, rnd_c);
*c = _mm_add_ps(*c, (float4)(0.734375f));
float4 r = _mm_add_ps(nn, dd);
r = _mm_and_ps(r, 0x807FFFFF);
r = _mm_or_ps(r, 0x40000000);
*c = _mm_add_ps(*c, r);
}
// 9*8 + 2 = 74
inline void round_compute(float4 n0, float4 n1, float4 n2, float4 n3, float4 rnd_c, float4* c, float4* r)
{
float4 n = (float4)(0.0f);
float4 d = (float4)(0.0f);
sub_round(n0, n1, n2, n3, rnd_c, &n, &d, c);
sub_round(n1, n2, n3, n0, rnd_c, &n, &d, c);
sub_round(n2, n3, n0, n1, rnd_c, &n, &d, c);
sub_round(n3, n0, n1, n2, rnd_c, &n, &d, c);
sub_round(n3, n2, n1, n0, rnd_c, &n, &d, c);
sub_round(n2, n1, n0, n3, rnd_c, &n, &d, c);
sub_round(n1, n0, n3, n2, rnd_c, &n, &d, c);
sub_round(n0, n3, n2, n1, rnd_c, &n, &d, c);
// Make sure abs(d) > 2.0 - this prevents division by zero and accidental overflows by division by < 1.0
d = _mm_and_ps(d, 0xFF7FFFFF);
d = _mm_or_ps(d, 0x40000000);
*r =_mm_add_ps(*r, _mm_div_ps(n,d));
}
inline int4 single_comupte(float4 n0, float4 n1, float4 n2, float4 n3, float cnt, float4 rnd_c, __local float4* sum)
{
float4 c= (float4)(cnt);
// 35 maths calls follow (140 FLOPS)
float4 r = (float4)(0.0f);
for (int i = 0; i < 4; ++i) {
round_compute(n0, n1, n2, n3, rnd_c, &c, &r);
}
// do a quick fmod by setting exp to 2
r = _mm_and_ps(r, 0x807FFFFF);
r = _mm_or_ps(r, 0x40000000);
*sum = r; // 34
float4 x = (float4)(536870880.0f);
r = _mm_mul_ps(r, x); // 35
return convert_int4_rte(r);
}
inline void single_comupte_wrap(const uint rot, int4 v0, int4 v1, int4 v2, int4 v3, float cnt, float4 rnd_c, __local float4* sum, __local int4* out)
{
float4 n0 = convert_float4_rte(v0);
float4 n1 = convert_float4_rte(v1);
float4 n2 = convert_float4_rte(v2);
float4 n3 = convert_float4_rte(v3);
int4 r = single_comupte(n0, n1, n2, n3, cnt, rnd_c, sum);
*out = rot == 0 ? r : _mm_alignr_epi8(r, rot);
}
static const __constant uint look[16][4] = {
{0, 1, 2, 3},
{0, 2, 3, 1},
{0, 3, 1, 2},
{0, 3, 2, 1},
{1, 0, 2, 3},
{1, 2, 3, 0},
{1, 3, 0, 2},
{1, 3, 2, 0},
{2, 1, 0, 3},
{2, 0, 3, 1},
{2, 3, 1, 0},
{2, 3, 0, 1},
{3, 1, 2, 0},
{3, 2, 0, 1},
{3, 0, 1, 2},
{3, 0, 2, 1}
};
static const __constant float ccnt[16] = {
1.34375f,
1.28125f,
1.359375f,
1.3671875f,
1.4296875f,
1.3984375f,
1.3828125f,
1.3046875f,
1.4140625f,
1.2734375f,
1.2578125f,
1.2890625f,
1.3203125f,
1.3515625f,
1.3359375f,
1.4609375f
};
struct SharedMemChunk
{
int4 out[16];
float4 va[16];
};
__attribute__((reqd_work_group_size(WORKSIZE * 16, 1, 1)))
__kernel void cn1(__global int *lpad_in, __global int *spad, uint numThreads)
{
const uint gIdx = getIdx();
uint chunk = get_local_id(0) / 16;
__global int* lpad = (__global int*)((__global char*)lpad_in + MEMORY * (gIdx/16));
__local struct SharedMemChunk smem_in[WORKSIZE];
__local struct SharedMemChunk* smem = smem_in + chunk;
uint tid = get_local_id(0) % 16;
uint idxHash = gIdx/16;
uint s = ((__global uint*)spad)[idxHash * 50] >> 8;
float4 vs = (float4)(0);
// tid divided
const uint tidd = tid / 4;
// tid modulo
const uint tidm = tid % 4;
const uint block = tidd * 16 + tidm;
#pragma unroll CN_UNROLL
for (uint i = 0; i < ITERATIONS; i++) {
mem_fence(CLK_LOCAL_MEM_FENCE);
int tmp = ((__global int*)scratchpad_ptr(s, tidd, lpad))[tidm];
((__local int*)(smem->out))[tid] = tmp;
mem_fence(CLK_LOCAL_MEM_FENCE);
{
single_comupte_wrap(
tidm,
*(smem->out + look[tid][0]),
*(smem->out + look[tid][1]),
*(smem->out + look[tid][2]),
*(smem->out + look[tid][3]),
ccnt[tid], vs, smem->va + tid,
smem->out + tid
);
}
mem_fence(CLK_LOCAL_MEM_FENCE);
int outXor = ((__local int*)smem->out)[block];
for (uint dd = block + 4; dd < (tidd + 1) * 16; dd += 4) {
outXor ^= ((__local int*)smem->out)[dd];
}
((__global int*)scratchpad_ptr(s, tidd, lpad))[tidm] = outXor ^ tmp;
((__local int*)smem->out)[tid] = outXor;
float va_tmp1 = ((__local float*)smem->va)[block] + ((__local float*)smem->va)[block + 4];
float va_tmp2 = ((__local float*)smem->va)[block+ 8] + ((__local float*)smem->va)[block + 12];
((__local float*)smem->va)[tid] = va_tmp1 + va_tmp2;
mem_fence(CLK_LOCAL_MEM_FENCE);
int out2 = ((__local int*)smem->out)[tid] ^ ((__local int*)smem->out)[tid + 4 ] ^ ((__local int*)smem->out)[tid + 8] ^ ((__local int*)smem->out)[tid + 12];
va_tmp1 = ((__local float*)smem->va)[block] + ((__local float*)smem->va)[block + 4];
va_tmp2 = ((__local float*)smem->va)[block + 8] + ((__local float*)smem->va)[block + 12];
va_tmp1 = va_tmp1 + va_tmp2;
va_tmp1 = fabs(va_tmp1);
float xx = va_tmp1 * 16777216.0f;
int xx_int = (int)xx;
((__local int*)smem->out)[tid] = out2 ^ xx_int;
((__local float*)smem->va)[tid] = va_tmp1 / 64.0f;
mem_fence(CLK_LOCAL_MEM_FENCE);
vs = smem->va[0];
s = smem->out[0].x ^ smem->out[0].y ^ smem->out[0].z ^ smem->out[0].w;
}
}
static const __constant uint skip[3] = {
20,22,22
};
inline void generate_512(uint idx, __local ulong* in, __global ulong* out)
{
ulong hash[25];
hash[0] = in[0] ^ idx;
for (int i = 1; i < 25; ++i) {
hash[i] = in[i];
}
for (int a = 0; a < 3; ++a) {
keccakf1600_1(hash);
for (int i = 0; i < skip[a]; ++i) {
out[i] = hash[i];
}
out += skip[a];
}
}
__attribute__((reqd_work_group_size(8, 8, 1)))
__kernel void cn0(__global ulong *input, __global int *Scratchpad, __global ulong *states, uint Threads)
{
const uint gIdx = getIdx();
__local ulong State_buf[8 * 25];
__local ulong* State = State_buf + get_local_id(0) * 25;
{
states += 25 * gIdx;
Scratchpad = (__global int*)((__global char*)Scratchpad + MEMORY * gIdx);
if (get_local_id(1) == 0) {
# ifdef __NV_CL_C_VERSION
for(uint i = 0; i < 8; ++i)
State[i] = input[i];
# else
((__local ulong8 *)State)[0] = vload8(0, input);
# endif
State[8] = input[8];
State[9] = input[9];
State[10] = input[10];
((__local uint *)State)[9] &= 0x00FFFFFFU;
((__local uint *)State)[9] |= (((uint)get_global_id(0)) & 0xFF) << 24;
((__local uint *)State)[10] &= 0xFF000000U;
/* explicit cast to `uint` is required because some OpenCL implementations (e.g. NVIDIA)
* handle get_global_id and get_global_offset as signed long long int and add
* 0xFFFFFFFF... to `get_global_id` if we set on host side a 32bit offset where the first bit is `1`
* (even if it is correct casted to unsigned on the host)
*/
((__local uint *)State)[10] |= (((uint)get_global_id(0) >> 8));
for (int i = 11; i < 25; ++i) {
State[i] = 0x00UL;
}
// Last bit of padding
State[16] = 0x8000000000000000UL;
keccakf1600_2(State);
#pragma unroll
for (int i = 0; i < 25; ++i) {
states[i] = State[i];
}
}
}
}
__attribute__((reqd_work_group_size(64, 1, 1)))
__kernel void cn00(__global int *Scratchpad, __global ulong *states)
{
const uint gIdx = getIdx() / 64;
__local ulong State[25];
states += 25 * gIdx;
Scratchpad = (__global int*)((__global char*)Scratchpad + MEMORY * gIdx);
for (int i = get_local_id(0); i < 25; i += get_local_size(0)) {
State[i] = states[i];
}
barrier(CLK_LOCAL_MEM_FENCE);
for (uint i = get_local_id(0); i < MEMORY / 512; i += get_local_size(0)) {
generate_512(i, State, (__global ulong*)((__global uchar*)Scratchpad + i * 512));
}
}
__attribute__((reqd_work_group_size(8, 8, 1)))
__kernel void cn2(__global uint4 *Scratchpad, __global ulong *states, __global uint *output, ulong Target, uint Threads)
{
__local uint AES0[256], AES1[256], AES2[256], AES3[256];
uint ExpandedKey2[40];
uint4 text;
const uint gIdx = getIdx();
for (int i = get_local_id(1) * 8 + get_local_id(0); i < 256; i += 8 * 8) {
const uint tmp = AES0_C[i];
AES0[i] = tmp;
AES1[i] = rotate(tmp, 8U);
AES2[i] = rotate(tmp, 16U);
AES3[i] = rotate(tmp, 24U);
}
barrier(CLK_LOCAL_MEM_FENCE);
__local uint4 xin1[8][8];
__local uint4 xin2[8][8];
{
states += 25 * gIdx;
Scratchpad += gIdx * (MEMORY >> 4);
#if defined(__Tahiti__) || defined(__Pitcairn__)
for(int i = 0; i < 4; ++i) ((ulong *)ExpandedKey2)[i] = states[i + 4];
text = vload4(get_local_id(1) + 4, (__global uint *)states);
#else
text = vload4(get_local_id(1) + 4, (__global uint *)states);
((uint8 *)ExpandedKey2)[0] = vload8(1, (__global uint *)states);
#endif
AESExpandKey256(ExpandedKey2);
}
barrier(CLK_LOCAL_MEM_FENCE);
__local uint4* xin1_store = &xin1[get_local_id(1)][get_local_id(0)];
__local uint4* xin1_load = &xin1[(get_local_id(1) + 1) % 8][get_local_id(0)];
__local uint4* xin2_store = &xin2[get_local_id(1)][get_local_id(0)];
__local uint4* xin2_load = &xin2[(get_local_id(1) + 1) % 8][get_local_id(0)];
*xin2_store = (uint4)(0, 0, 0, 0);
{
#pragma unroll 2
for (int i = 0, i1 = get_local_id(1); i < (MEMORY >> 7); ++i, i1 = (i1 + 16) % (MEMORY >> 4)) {
text ^= Scratchpad[(uint)i1];
barrier(CLK_LOCAL_MEM_FENCE);
text ^= *xin2_load;
#pragma unroll 10
for(int j = 0; j < 10; ++j)
text = AES_Round(AES0, AES1, AES2, AES3, text, ((uint4 *)ExpandedKey2)[j]);
*xin1_store = text;
text ^= Scratchpad[(uint)i1 + 8u];
barrier(CLK_LOCAL_MEM_FENCE);
text ^= *xin1_load;
#pragma unroll 10
for(int j = 0; j < 10; ++j)
text = AES_Round(AES0, AES1, AES2, AES3, text, ((uint4 *)ExpandedKey2)[j]);
*xin2_store = text;
}
barrier(CLK_LOCAL_MEM_FENCE);
text ^= *xin2_load;
}
/* Also left over threads performe this loop.
* The left over thread results will be ignored
*/
#pragma unroll 16
for(size_t i = 0; i < 16; i++)
{
#pragma unroll 10
for (int j = 0; j < 10; ++j) {
text = AES_Round(AES0, AES1, AES2, AES3, text, ((uint4 *)ExpandedKey2)[j]);
}
barrier(CLK_LOCAL_MEM_FENCE);
*xin1_store = text;
barrier(CLK_LOCAL_MEM_FENCE);
text ^= *xin1_load;
}
__local ulong State_buf[8 * 25];
{
vstore2(as_ulong2(text), get_local_id(1) + 4, states);
}
barrier(CLK_GLOBAL_MEM_FENCE);
{
if(!get_local_id(1))
{
__local ulong* State = State_buf + get_local_id(0) * 25;
for(int i = 0; i < 25; ++i) State[i] = states[i];
keccakf1600_2(State);
if(State[3] <= Target)
{
ulong outIdx = atomic_inc(output + 0xFF);
if(outIdx < 0xFF)
output[outIdx] = get_global_id(0);
}
}
}
mem_fence(CLK_GLOBAL_MEM_FENCE);
}

View file

@ -1,639 +0,0 @@
#pragma once
namespace xmrig {
static char cryptonight_gpu_cl[20166] = {
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};
} // namespace xmrig

View file

@ -0,0 +1,38 @@
#ifdef cl_clang_storage_class_specifiers
#pragma OPENCL EXTENSION cl_clang_storage_class_specifiers : enable
#endif
#ifndef GROUP_SIZE
#define GROUP_SIZE 128
#endif
#define GROUP_SHARE (GROUP_SIZE / 16)
typedef unsigned int uint32_t;
typedef unsigned long uint64_t;
#define ROTL32(x, n) rotate((x), (uint32_t)(n))
#define ROTR32(x, n) rotate((x), (uint32_t)(32-n))
#define PROGPOW_LANES 16
#define PROGPOW_REGS 32
#define PROGPOW_DAG_LOADS 4
#define PROGPOW_CACHE_WORDS 4096
#define PROGPOW_CNT_DAG 64
#define PROGPOW_CNT_MATH 18
#define OPENCL_PLATFORM_UNKNOWN 0
#define OPENCL_PLATFORM_NVIDIA 1
#define OPENCL_PLATFORM_AMD 2
#define OPENCL_PLATFORM_CLOVER 3
#ifndef MAX_OUTPUTS
#define MAX_OUTPUTS 63U
#endif
#ifndef PLATFORM
#define PLATFORM OPENCL_PLATFORM_AMD
#endif
#define HASHES_PER_GROUP (GROUP_SIZE / PROGPOW_LANES)
#define FNV_PRIME 0x1000193
#define FNV_OFFSET_BASIS 0x811c9dc5

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#include "defs.h"
typedef struct __attribute__ ((aligned(16))) {uint32_t s[PROGPOW_DAG_LOADS];} dag_t;
inline void progPowLoop(const uint32_t loop,
volatile uint32_t mix_arg[PROGPOW_REGS],
__global const dag_t *g_dag,
__local const uint32_t c_dag[PROGPOW_CACHE_WORDS],
__local uint64_t share[GROUP_SHARE],
const bool hack_false)
{
dag_t data_dag;
uint32_t offset, data;
uint32_t mix[PROGPOW_REGS];
for(int i=0; i<PROGPOW_REGS; i++)
mix[i] = mix_arg[i];
const uint32_t lane_id = get_local_id(0) & (PROGPOW_LANES-1);
const uint32_t group_id = get_local_id(0) / PROGPOW_LANES;
// global load
if(lane_id == (loop % PROGPOW_LANES))
share[group_id] = mix[0];
barrier(CLK_LOCAL_MEM_FENCE);
offset = share[group_id];
offset %= PROGPOW_DAG_ELEMENTS;
offset = offset * PROGPOW_LANES + (lane_id ^ loop) % PROGPOW_LANES;
data_dag = g_dag[offset];
// hack to prevent compiler from reordering LD and usage
if (hack_false) barrier(CLK_LOCAL_MEM_FENCE);
XMRIG_INCLUDE_PROGPOW_RANDOM_MATH
// consume global load data
// hack to prevent compiler from reordering LD and usage
if (hack_false) barrier(CLK_LOCAL_MEM_FENCE);
XMRIG_INCLUDE_PROGPOW_DATA_LOADS
for(int i=0; i<PROGPOW_REGS; i++)
mix_arg[i] = mix[i];
}
// Implementation based on:
// https://github.com/mjosaarinen/tiny_sha3/blob/master/sha3.c
__constant const uint32_t keccakf_rndc[24] = {0x00000001, 0x00008082, 0x0000808a, 0x80008000,
0x0000808b, 0x80000001, 0x80008081, 0x00008009, 0x0000008a, 0x00000088, 0x80008009, 0x8000000a,
0x8000808b, 0x0000008b, 0x00008089, 0x00008003, 0x00008002, 0x00000080, 0x0000800a, 0x8000000a,
0x80008081, 0x00008080, 0x80000001, 0x80008008};
__constant const uint32_t ravencoin_rndc[15] = {
0x00000072, //R
0x00000041, //A
0x00000056, //V
0x00000045, //E
0x0000004E, //N
0x00000043, //C
0x0000004F, //O
0x00000049, //I
0x0000004E, //N
0x0000004B, //K
0x00000041, //A
0x00000057, //W
0x00000050, //P
0x0000004F, //O
0x00000057, //W
};
// Implementation of the Keccakf transformation with a width of 800
void keccak_f800_round(uint32_t st[25], const int r)
{
const uint32_t keccakf_rotc[24] = {
1, 3, 6, 10, 15, 21, 28, 36, 45, 55, 2, 14, 27, 41, 56, 8, 25, 43, 62, 18, 39, 61, 20, 44};
const uint32_t keccakf_piln[24] = {
10, 7, 11, 17, 18, 3, 5, 16, 8, 21, 24, 4, 15, 23, 19, 13, 12, 2, 20, 14, 22, 9, 6, 1};
uint32_t t, bc[5];
// Theta
for (int i = 0; i < 5; i++)
bc[i] = st[i] ^ st[i + 5] ^ st[i + 10] ^ st[i + 15] ^ st[i + 20];
for (int i = 0; i < 5; i++)
{
t = bc[(i + 4) % 5] ^ ROTL32(bc[(i + 1) % 5], 1u);
for (uint32_t j = 0; j < 25; j += 5)
st[j + i] ^= t;
}
// Rho Pi
t = st[1];
for (int i = 0; i < 24; i++)
{
uint32_t j = keccakf_piln[i];
bc[0] = st[j];
st[j] = ROTL32(t, keccakf_rotc[i]);
t = bc[0];
}
// Chi
for (uint32_t j = 0; j < 25; j += 5)
{
for (int i = 0; i < 5; i++)
bc[i] = st[j + i];
for (int i = 0; i < 5; i++)
st[j + i] ^= (~bc[(i + 1) % 5]) & bc[(i + 2) % 5];
}
// Iota
st[0] ^= keccakf_rndc[r];
}
// Keccak - implemented as a variant of SHAKE
// The width is 800, with a bitrate of 576, a capacity of 224, and no padding
// Only need 64 bits of output for mining
uint64_t keccak_f800(uint32_t* st)
{
// Complete all 22 rounds as a separate impl to
// evaluate only first 8 words is wasteful of regsters
for (int r = 0; r < 22; r++) {
keccak_f800_round(st, r);
}
}
#define fnv1a(h, d) (h = (h ^ d) * FNV_PRIME)
typedef struct
{
uint32_t z, w, jsr, jcong;
} kiss99_t;
// KISS99 is simple, fast, and passes the TestU01 suite
// https://en.wikipedia.org/wiki/KISS_(algorithm)
// http://www.cse.yorku.ca/~oz/marsaglia-rng.html
uint32_t kiss99(kiss99_t* st)
{
st->z = 36969 * (st->z & 65535) + (st->z >> 16);
st->w = 18000 * (st->w & 65535) + (st->w >> 16);
uint32_t MWC = ((st->z << 16) + st->w);
st->jsr ^= (st->jsr << 17);
st->jsr ^= (st->jsr >> 13);
st->jsr ^= (st->jsr << 5);
st->jcong = 69069 * st->jcong + 1234567;
return ((MWC ^ st->jcong) + st->jsr);
}
void fill_mix(local uint32_t* seed, uint32_t lane_id, uint32_t* mix)
{
// Use FNV to expand the per-warp seed to per-lane
// Use KISS to expand the per-lane seed to fill mix
uint32_t fnv_hash = FNV_OFFSET_BASIS;
kiss99_t st;
st.z = fnv1a(fnv_hash, seed[0]);
st.w = fnv1a(fnv_hash, seed[1]);
st.jsr = fnv1a(fnv_hash, lane_id);
st.jcong = fnv1a(fnv_hash, lane_id);
#pragma unroll
for (int i = 0; i < PROGPOW_REGS; i++)
mix[i] = kiss99(&st);
}
typedef struct
{
uint32_t uint32s[PROGPOW_LANES];
uint64_t uint64s[PROGPOW_LANES / 2];
} shuffle_t;
typedef struct
{
uint32_t uint32s[32 / sizeof(uint32_t)];
} hash32_t;
#if PLATFORM != OPENCL_PLATFORM_NVIDIA // use maxrregs on nv
__attribute__((reqd_work_group_size(GROUP_SIZE, 1, 1)))
#endif
__kernel void progpow_search(__global dag_t const* g_dag, __global uint* job_blob, ulong target, uint hack_false, volatile __global uint* results)
{
__local shuffle_t share[HASHES_PER_GROUP];
__local uint32_t c_dag[PROGPOW_CACHE_WORDS];
uint32_t const lid = get_local_id(0);
uint32_t const gid = get_global_id(0);
const uint32_t lane_id = lid & (PROGPOW_LANES - 1);
const uint32_t group_id = lid / PROGPOW_LANES;
// Load the first portion of the DAG into the cache
for (uint32_t word = lid * PROGPOW_DAG_LOADS; word < PROGPOW_CACHE_WORDS; word += GROUP_SIZE * PROGPOW_DAG_LOADS)
{
dag_t load = g_dag[word / PROGPOW_DAG_LOADS];
for (int i = 0; i < PROGPOW_DAG_LOADS; i++)
c_dag[word + i] = load.s[i];
}
// Sync threads so shared mem is in sync
barrier(CLK_LOCAL_MEM_FENCE);
uint32_t hash_seed[2]; // KISS99 initiator
hash32_t digest; // Carry-over from mix output
uint32_t state2[8];
{
// Absorb phase for initial round of keccak
uint32_t state[25]; // Keccak's state
// 1st fill with job data
for (int i = 0; i < 10; i++)
state[i] = job_blob[i];
// Apply nonce
state[8] = gid;
// 3rd apply ravencoin input constraints
for (int i = 10; i < 25; i++)
state[i] = ravencoin_rndc[i-10];
// Run intial keccak round
keccak_f800(state);
for (int i = 0; i < 8; i++)
state2[i] = state[i];
}
#pragma unroll 1
for (uint32_t h = 0; h < PROGPOW_LANES; h++)
{
uint32_t mix[PROGPOW_REGS];
// share the hash's seed across all lanes
if (lane_id == h) {
share[group_id].uint32s[0] = state2[0];
share[group_id].uint32s[1] = state2[1];
}
barrier(CLK_LOCAL_MEM_FENCE);
// initialize mix for all lanes
fill_mix(share[group_id].uint32s, lane_id, mix);
#pragma unroll 1
for (uint32_t l = 0; l < PROGPOW_CNT_DAG; l++)
progPowLoop(l, mix, g_dag, c_dag, share[0].uint64s, hack_false);
// Reduce mix data to a per-lane 32-bit digest
uint32_t mix_hash = FNV_OFFSET_BASIS;
#pragma unroll
for (int i = 0; i < PROGPOW_REGS; i++)
fnv1a(mix_hash, mix[i]);
// Reduce all lanes to a single 256-bit digest
hash32_t digest_temp;
for (int i = 0; i < 8; i++)
digest_temp.uint32s[i] = FNV_OFFSET_BASIS;
share[group_id].uint32s[lane_id] = mix_hash;
barrier(CLK_LOCAL_MEM_FENCE);
#pragma unroll
for (int i = 0; i < PROGPOW_LANES; i++)
fnv1a(digest_temp.uint32s[i % 8], share[group_id].uint32s[i]);
if (h == lane_id)
digest = digest_temp;
}
// Absorb phase for last round of keccak (256 bits)
uint64_t result;
{
uint32_t state[25] = {0x0}; // Keccak's state
// 1st initial 8 words of state are kept as carry-over from initial keccak
for (int i = 0; i < 8; i++)
state[i] = state2[i];
// 2nd subsequent 8 words are carried from digest/mix
for (int i = 8; i < 16; i++)
state[i] = digest.uint32s[i - 8];
// 3rd apply ravencoin input constraints
for (int i = 16; i < 25; i++)
state[i] = ravencoin_rndc[i - 16];
// Run keccak loop
keccak_f800(state);
uint64_t res = (uint64_t)state[1] << 32 | state[0];
result = as_ulong(as_uchar8(res).s76543210);
}
if (result <= target)
{
const uint k = atomic_inc(results) + 1;
if (k <= 15)
results[k] = gid;
}
}

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@ -0,0 +1,207 @@
#pragma once
namespace xmrig {
static char kawpow_cl[6348] = {
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};
} // namespace xmrig

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@ -0,0 +1,283 @@
#include "defs.h"
//
// DAG calculation logic
//
#define ETHASH_DATASET_PARENTS 512
#define NODE_WORDS (64 / 4)
__constant uint2 const Keccak_f1600_RC[24] = {
(uint2)(0x00000001, 0x00000000),
(uint2)(0x00008082, 0x00000000),
(uint2)(0x0000808a, 0x80000000),
(uint2)(0x80008000, 0x80000000),
(uint2)(0x0000808b, 0x00000000),
(uint2)(0x80000001, 0x00000000),
(uint2)(0x80008081, 0x80000000),
(uint2)(0x00008009, 0x80000000),
(uint2)(0x0000008a, 0x00000000),
(uint2)(0x00000088, 0x00000000),
(uint2)(0x80008009, 0x00000000),
(uint2)(0x8000000a, 0x00000000),
(uint2)(0x8000808b, 0x00000000),
(uint2)(0x0000008b, 0x80000000),
(uint2)(0x00008089, 0x80000000),
(uint2)(0x00008003, 0x80000000),
(uint2)(0x00008002, 0x80000000),
(uint2)(0x00000080, 0x80000000),
(uint2)(0x0000800a, 0x00000000),
(uint2)(0x8000000a, 0x80000000),
(uint2)(0x80008081, 0x80000000),
(uint2)(0x00008080, 0x80000000),
(uint2)(0x80000001, 0x00000000),
(uint2)(0x80008008, 0x80000000),
};
#if PLATFORM == OPENCL_PLATFORM_NVIDIA && COMPUTE >= 35
static uint2 ROL2(const uint2 a, const int offset)
{
uint2 result;
if (offset >= 32)
{
asm("shf.l.wrap.b32 %0, %1, %2, %3;" : "=r"(result.x) : "r"(a.x), "r"(a.y), "r"(offset));
asm("shf.l.wrap.b32 %0, %1, %2, %3;" : "=r"(result.y) : "r"(a.y), "r"(a.x), "r"(offset));
}
else
{
asm("shf.l.wrap.b32 %0, %1, %2, %3;" : "=r"(result.x) : "r"(a.y), "r"(a.x), "r"(offset));
asm("shf.l.wrap.b32 %0, %1, %2, %3;" : "=r"(result.y) : "r"(a.x), "r"(a.y), "r"(offset));
}
return result;
}
#elif PLATFORM == OPENCL_PLATFORM_AMD
#pragma OPENCL EXTENSION cl_amd_media_ops : enable
static uint2 ROL2(const uint2 vv, const int r)
{
if (r <= 32)
{
return amd_bitalign((vv).xy, (vv).yx, 32 - r);
}
else
{
return amd_bitalign((vv).yx, (vv).xy, 64 - r);
}
}
#else
static uint2 ROL2(const uint2 v, const int n)
{
uint2 result;
if (n <= 32)
{
result.y = ((v.y << (n)) | (v.x >> (32 - n)));
result.x = ((v.x << (n)) | (v.y >> (32 - n)));
}
else
{
result.y = ((v.x << (n - 32)) | (v.y >> (64 - n)));
result.x = ((v.y << (n - 32)) | (v.x >> (64 - n)));
}
return result;
}
#endif
static void chi(uint2* a, const uint n, const uint2* t)
{
a[n + 0] = bitselect(t[n + 0] ^ t[n + 2], t[n + 0], t[n + 1]);
a[n + 1] = bitselect(t[n + 1] ^ t[n + 3], t[n + 1], t[n + 2]);
a[n + 2] = bitselect(t[n + 2] ^ t[n + 4], t[n + 2], t[n + 3]);
a[n + 3] = bitselect(t[n + 3] ^ t[n + 0], t[n + 3], t[n + 4]);
a[n + 4] = bitselect(t[n + 4] ^ t[n + 1], t[n + 4], t[n + 0]);
}
static void keccak_f1600_round(uint2* a, uint r)
{
uint2 t[25];
uint2 u;
// Theta
t[0] = a[0] ^ a[5] ^ a[10] ^ a[15] ^ a[20];
t[1] = a[1] ^ a[6] ^ a[11] ^ a[16] ^ a[21];
t[2] = a[2] ^ a[7] ^ a[12] ^ a[17] ^ a[22];
t[3] = a[3] ^ a[8] ^ a[13] ^ a[18] ^ a[23];
t[4] = a[4] ^ a[9] ^ a[14] ^ a[19] ^ a[24];
u = t[4] ^ ROL2(t[1], 1);
a[0] ^= u;
a[5] ^= u;
a[10] ^= u;
a[15] ^= u;
a[20] ^= u;
u = t[0] ^ ROL2(t[2], 1);
a[1] ^= u;
a[6] ^= u;
a[11] ^= u;
a[16] ^= u;
a[21] ^= u;
u = t[1] ^ ROL2(t[3], 1);
a[2] ^= u;
a[7] ^= u;
a[12] ^= u;
a[17] ^= u;
a[22] ^= u;
u = t[2] ^ ROL2(t[4], 1);
a[3] ^= u;
a[8] ^= u;
a[13] ^= u;
a[18] ^= u;
a[23] ^= u;
u = t[3] ^ ROL2(t[0], 1);
a[4] ^= u;
a[9] ^= u;
a[14] ^= u;
a[19] ^= u;
a[24] ^= u;
// Rho Pi
t[0] = a[0];
t[10] = ROL2(a[1], 1);
t[20] = ROL2(a[2], 62);
t[5] = ROL2(a[3], 28);
t[15] = ROL2(a[4], 27);
t[16] = ROL2(a[5], 36);
t[1] = ROL2(a[6], 44);
t[11] = ROL2(a[7], 6);
t[21] = ROL2(a[8], 55);
t[6] = ROL2(a[9], 20);
t[7] = ROL2(a[10], 3);
t[17] = ROL2(a[11], 10);
t[2] = ROL2(a[12], 43);
t[12] = ROL2(a[13], 25);
t[22] = ROL2(a[14], 39);
t[23] = ROL2(a[15], 41);
t[8] = ROL2(a[16], 45);
t[18] = ROL2(a[17], 15);
t[3] = ROL2(a[18], 21);
t[13] = ROL2(a[19], 8);
t[14] = ROL2(a[20], 18);
t[24] = ROL2(a[21], 2);
t[9] = ROL2(a[22], 61);
t[19] = ROL2(a[23], 56);
t[4] = ROL2(a[24], 14);
// Chi
chi(a, 0, t);
// Iota
a[0] ^= Keccak_f1600_RC[r];
chi(a, 5, t);
chi(a, 10, t);
chi(a, 15, t);
chi(a, 20, t);
}
static void keccak_f1600_no_absorb(uint2* a, uint out_size, uint isolate)
{
// Originally I unrolled the first and last rounds to interface
// better with surrounding code, however I haven't done this
// without causing the AMD compiler to blow up the VGPR usage.
// uint o = 25;
for (uint r = 0; r < 24;)
{
// This dynamic branch stops the AMD compiler unrolling the loop
// and additionally saves about 33% of the VGPRs, enough to gain another
// wavefront. Ideally we'd get 4 in flight, but 3 is the best I can
// massage out of the compiler. It doesn't really seem to matter how
// much we try and help the compiler save VGPRs because it seems to throw
// that information away, hence the implementation of keccak here
// doesn't bother.
if (isolate)
{
keccak_f1600_round(a, r++);
// if (r == 23) o = out_size;
}
}
// final round optimised for digest size
// keccak_f1600_round(a, 23, out_size);
}
#define copy(dst, src, count) \
for (uint i = 0; i != count; ++i) \
{ \
(dst)[i] = (src)[i]; \
}
static uint fnv(uint x, uint y)
{
return x * FNV_PRIME ^ y;
}
static uint4 fnv4(uint4 x, uint4 y)
{
return x * FNV_PRIME ^ y;
}
typedef union
{
uint words[64 / sizeof(uint)];
uint2 uint2s[64 / sizeof(uint2)];
uint4 uint4s[64 / sizeof(uint4)];
} hash64_t;
typedef union
{
uint words[200 / sizeof(uint)];
uint2 uint2s[200 / sizeof(uint2)];
uint4 uint4s[200 / sizeof(uint4)];
} hash200_t;
typedef struct
{
uint4 uint4s[128 / sizeof(uint4)];
} hash128_t;
static void SHA3_512(uint2* s, uint isolate)
{
for (uint i = 8; i != 25; ++i)
{
s[i] = (uint2){0, 0};
}
s[8].x = 0x00000001;
s[8].y = 0x80000000;
keccak_f1600_no_absorb(s, 8, isolate);
}
static uint fast_mod(uint a, uint4 d)
{
const ulong t = a;
const uint q = ((t + d.y) * d.x) >> d.z;
return a - q * d.w;
}
__kernel void ethash_calculate_dag_item(uint start, __global hash64_t const* g_light, __global hash64_t* g_dag, uint isolate, uint dag_words, uint4 light_words)
{
uint const node_index = start + get_global_id(0);
if (node_index >= dag_words)
return;
hash200_t dag_node;
copy(dag_node.uint4s, g_light[fast_mod(node_index, light_words)].uint4s, 4);
dag_node.words[0] ^= node_index;
SHA3_512(dag_node.uint2s, isolate);
for (uint i = 0; i != ETHASH_DATASET_PARENTS; ++i)
{
uint parent_index = fast_mod(fnv(node_index ^ i, dag_node.words[i % NODE_WORDS]), light_words);
for (uint w = 0; w != 4; ++w)
dag_node.uint4s[w] = fnv4(dag_node.uint4s[w], g_light[parent_index].uint4s[w]);
}
SHA3_512(dag_node.uint2s, isolate);
copy(g_dag[node_index].uint4s, dag_node.uint4s, 4);
}

View file

@ -0,0 +1,196 @@
#pragma once
namespace xmrig {
static char kawpow_dag_cl[5990] = {
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0x29,0x3b,0x0a,0x7d,0x0a,0x00
};
} // namespace xmrig

File diff suppressed because it is too large Load diff

View file

@ -1,87 +0,0 @@
/* XMRig
* Copyright 2010 Jeff Garzik <jgarzik@pobox.com>
* Copyright 2012-2014 pooler <pooler@litecoinpool.org>
* Copyright 2014 Lucas Jones <https://github.com/lucasjones>
* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
* Copyright 2018 Lee Clagett <https://github.com/vtnerd>
* Copyright 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2020 XMRig <https://github.com/xmrig>, <support@xmrig.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "backend/opencl/OclThreads.h"
#include "backend/opencl/wrappers/OclDevice.h"
#include "base/crypto/Algorithm.h"
#include <algorithm>
namespace xmrig {
constexpr const size_t oneMiB = 1024u * 1024u;
bool ocl_generic_cn_gpu_generator(const OclDevice &device, const Algorithm &algorithm, OclThreads &threads)
{
if (algorithm != Algorithm::CN_GPU) {
return false;
}
uint32_t worksize = 8;
uint32_t numThreads = 1u;
size_t minFreeMem = 128u * oneMiB;
if (device.type() == OclDevice::Vega_10 || device.type() == OclDevice::Vega_20) {
minFreeMem = oneMiB;
worksize = 16;
}
else if (device.type() == OclDevice::Navi_10) {
numThreads = 2u;
}
else if (device.name() == "Fiji") {
worksize = 16;
}
size_t maxThreads = device.computeUnits() * 6 * 8;
const size_t maxAvailableFreeMem = device.freeMemSize() - minFreeMem;
const size_t memPerThread = std::min(device.maxMemAllocSize(), maxAvailableFreeMem);
size_t memPerHash = algorithm.l3() + 240u;
size_t maxIntensity = memPerThread / memPerHash;
size_t possibleIntensity = std::min(maxThreads, maxIntensity);
size_t intensity = 0;
size_t cuUtilization = ((possibleIntensity * 100) / (worksize * device.computeUnits())) % 100;
if (cuUtilization >= 75) {
intensity = (possibleIntensity / worksize) * worksize;
}
else {
intensity = (possibleIntensity / (worksize * device.computeUnits())) * device.computeUnits() * worksize;
}
threads.add(OclThread(device.index(), intensity, worksize, numThreads, 1));
return true;
}
} // namespace xmrig

View file

@ -5,8 +5,9 @@
* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
* Copyright 2018-2019 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2019 XMRig <https://github.com/xmrig>, <support@xmrig.com>
* Copyright 2018 Lee Clagett <https://github.com/vtnerd>
* Copyright 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2020 XMRig <https://github.com/xmrig>, <support@xmrig.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
@ -23,22 +24,25 @@
*/
#include "backend/opencl/kernels/Cn00RyoKernel.h"
#include "backend/opencl/wrappers/OclLib.h"
#include "backend/opencl/OclThreads.h"
#include "backend/opencl/wrappers/OclDevice.h"
#include "base/crypto/Algorithm.h"
#include "crypto/randomx/randomx.h"
#include "crypto/rx/RxAlgo.h"
void xmrig::Cn00RyoKernel::enqueue(cl_command_queue queue, size_t threads)
namespace xmrig {
bool ocl_generic_kawpow_generator(const OclDevice &device, const Algorithm &algorithm, OclThreads &threads)
{
const size_t gthreads = threads * 64;
const size_t lthreads = 64;
if (algorithm.family() != Algorithm::KAWPOW) {
return false;
}
enqueueNDRange(queue, 1, nullptr, &gthreads, &lthreads);
threads.add(OclThread(device.index(), device.computeUnits() * 262144, 1));
return true;
}
// __kernel void cn00(__global int *Scratchpad, __global ulong *states)
void xmrig::Cn00RyoKernel::setArgs(cl_mem scratchpads, cl_mem states)
{
setArg(0, sizeof(cl_mem), &scratchpads);
setArg(1, sizeof(cl_mem), &states);
}
} // namespace xmrig

View file

@ -1,53 +0,0 @@
/* XMRig
* Copyright 2010 Jeff Garzik <jgarzik@pobox.com>
* Copyright 2012-2014 pooler <pooler@litecoinpool.org>
* Copyright 2014 Lucas Jones <https://github.com/lucasjones>
* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
* Copyright 2018-2019 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2019 XMRig <https://github.com/xmrig>, <support@xmrig.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "backend/opencl/kernels/Cn2RyoKernel.h"
#include "backend/opencl/wrappers/OclLib.h"
void xmrig::Cn2RyoKernel::enqueue(cl_command_queue queue, uint32_t nonce, size_t threads)
{
const size_t offset[2] = { nonce, 1 };
const size_t gthreads[2] = { threads, 8 };
static const size_t lthreads[2] = { 8, 8 };
enqueueNDRange(queue, 2, offset, gthreads, lthreads);
}
// __kernel void cn2(__global uint4 *Scratchpad, __global ulong *states, __global uint *output, ulong Target, uint Threads)
void xmrig::Cn2RyoKernel::setArgs(cl_mem scratchpads, cl_mem states, cl_mem output, uint32_t threads)
{
setArg(0, sizeof(cl_mem), &scratchpads);
setArg(1, sizeof(cl_mem), &states);
setArg(2, sizeof(cl_mem), &output);
setArg(4, sizeof(uint32_t), &threads);
}
void xmrig::Cn2RyoKernel::setTarget(uint64_t target)
{
setArg(3, sizeof(cl_ulong), &target);
}

View file

@ -5,8 +5,8 @@
* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
* Copyright 2018-2019 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2019 XMRig <https://github.com/xmrig>, <support@xmrig.com>
* Copyright 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2020 XMRig <https://github.com/xmrig>, <support@xmrig.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
@ -23,26 +23,31 @@
*/
#include <string>
#include "backend/opencl/kernels/Cn1RyoKernel.h"
#include "KawPow_CalculateDAGKernel.h"
#include "backend/opencl/wrappers/OclLib.h"
#include "crypto/kawpow/KPCache.h"
void xmrig::Cn1RyoKernel::enqueue(cl_command_queue queue, size_t threads, size_t worksize)
void xmrig::KawPow_CalculateDAGKernel::enqueue(cl_command_queue queue, size_t threads, size_t workgroup_size)
{
const size_t gthreads = threads * 16;
const size_t lthreads = worksize * 16;
enqueueNDRange(queue, 1, nullptr, &gthreads, &lthreads);
enqueueNDRange(queue, 1, nullptr, &threads, &workgroup_size);
}
// __kernel void cn1(__global int *lpad_in, __global int *spad, uint numThreads)
void xmrig::Cn1RyoKernel::setArgs(cl_mem scratchpads, cl_mem states, uint32_t threads)
void xmrig::KawPow_CalculateDAGKernel::setArgs(uint32_t start, cl_mem g_light, cl_mem g_dag, uint32_t dag_words, uint32_t light_words)
{
setArg(0, sizeof(cl_mem), &scratchpads);
setArg(1, sizeof(cl_mem), &states);
setArg(2, sizeof(uint32_t), &threads);
setArg(0, sizeof(start), &start);
setArg(1, sizeof(g_light), &g_light);
setArg(2, sizeof(g_dag), &g_dag);
const uint32_t isolate = 1;
setArg(3, sizeof(isolate), &isolate);
setArg(4, sizeof(dag_words), &dag_words);
uint32_t light_words4[4];
KPCache::calculate_fast_mod_data(light_words, light_words4[0], light_words4[1], light_words4[2]);
light_words4[3] = light_words;
setArg(5, sizeof(light_words4), light_words4);
}

View file

@ -5,8 +5,8 @@
* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
* Copyright 2018-2019 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2019 XMRig <https://github.com/xmrig>, <support@xmrig.com>
* Copyright 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2020 XMRig <https://github.com/xmrig>, <support@xmrig.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
@ -22,8 +22,8 @@
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef XMRIG_CN1RYOKERNEL_H
#define XMRIG_CN1RYOKERNEL_H
#ifndef XMRIG_KAWPOW_CALCULATEDAGKERNEL_H
#define XMRIG_KAWPOW_CALCULATEDAGKERNEL_H
#include "backend/opencl/wrappers/OclKernel.h"
@ -32,17 +32,17 @@
namespace xmrig {
class Cn1RyoKernel : public OclKernel
class KawPow_CalculateDAGKernel : public OclKernel
{
public:
inline Cn1RyoKernel(cl_program program) : OclKernel(program, "cn1") {}
inline KawPow_CalculateDAGKernel(cl_program program) : OclKernel(program, "ethash_calculate_dag_item") {}
void enqueue(cl_command_queue queue, size_t threads, size_t worksize);
void setArgs(cl_mem scratchpads, cl_mem states, uint32_t threads);
void enqueue(cl_command_queue queue, size_t threads, size_t workgroup_size);
void setArgs(uint32_t start, cl_mem g_light, cl_mem g_dag, uint32_t dag_words, uint32_t light_words);
};
} // namespace xmrig
#endif /* XMRIG_CN1RYOKERNEL_H */
#endif /* XMRIG_KAWPOW_CALCULATEDAGKERNEL_H */

View file

@ -125,20 +125,18 @@ if (WITH_OPENCL)
)
endif()
if (WITH_CN_GPU AND CMAKE_SIZEOF_VOID_P EQUAL 8)
if (WITH_KAWPOW)
list(APPEND HEADERS_BACKEND_OPENCL
src/backend/opencl/kernels/Cn00RyoKernel.h
src/backend/opencl/kernels/Cn1RyoKernel.h
src/backend/opencl/kernels/Cn2RyoKernel.h
src/backend/opencl/runners/OclRyoRunner.h
src/backend/opencl/kernels/kawpow/KawPow_CalculateDAGKernel.h
src/backend/opencl/runners/OclKawPowRunner.h
src/backend/opencl/runners/tools/OclKawPow.h
)
list(APPEND SOURCES_BACKEND_OPENCL
src/backend/opencl/generators/ocl_generic_cn_gpu_generator.cpp
src/backend/opencl/kernels/Cn00RyoKernel.cpp
src/backend/opencl/kernels/Cn1RyoKernel.cpp
src/backend/opencl/kernels/Cn2RyoKernel.cpp
src/backend/opencl/runners/OclRyoRunner.cpp
src/backend/opencl/generators/ocl_generic_kawpow_generator.cpp
src/backend/opencl/kernels/kawpow/KawPow_CalculateDAGKernel.cpp
src/backend/opencl/runners/OclKawPowRunner.cpp
src/backend/opencl/runners/tools/OclKawPow.cpp
)
endif()

View file

@ -0,0 +1,180 @@
/* XMRig
* Copyright 2010 Jeff Garzik <jgarzik@pobox.com>
* Copyright 2012-2014 pooler <pooler@litecoinpool.org>
* Copyright 2014 Lucas Jones <https://github.com/lucasjones>
* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
* Copyright 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2020 XMRig <https://github.com/xmrig>, <support@xmrig.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "backend/common/Tags.h"
#include "backend/opencl/kernels/kawpow/KawPow_CalculateDAGKernel.h"
#include "backend/opencl/runners/OclKawPowRunner.h"
#include "backend/opencl/runners/tools/OclKawPow.h"
#include "backend/opencl/OclLaunchData.h"
#include "backend/opencl/wrappers/OclError.h"
#include "backend/opencl/wrappers/OclLib.h"
#include "base/io/log/Log.h"
#include "base/net/stratum/Job.h"
#include "base/io/log/Log.h"
#include "base/tools/Chrono.h"
#include "crypto/common/VirtualMemory.h"
#include "crypto/kawpow/KPHash.h"
#include "3rdparty/libethash/ethash_internal.h"
#include <Windows.h>
namespace xmrig {
OclKawPowRunner::OclKawPowRunner(size_t index, const OclLaunchData &data) : OclBaseRunner(index, data)
{
if (data.device.vendorId() == OclVendor::OCL_VENDOR_NVIDIA) {
m_options += " -DPLATFORM=OPENCL_PLATFORM_NVIDIA";
m_workGroupSize = 32;
}
}
OclKawPowRunner::~OclKawPowRunner()
{
OclLib::release(m_lightCache);
OclLib::release(m_dag);
delete m_calculateDagKernel;
OclLib::release(m_searchKernel);
OclKawPow::clear();
}
void OclKawPowRunner::run(uint32_t nonce, uint32_t *hashOutput)
{
const size_t local_work_size = 128;
const size_t global_work_offset = nonce;
const size_t global_work_size = m_intensity - (m_intensity % local_work_size);
enqueueWriteBuffer(m_input, CL_FALSE, 0, 40, m_blob);
const uint32_t zero = 0;
enqueueWriteBuffer(m_output, CL_FALSE, 0, sizeof(uint32_t), &zero);
const cl_int ret = OclLib::enqueueNDRangeKernel(m_queue, m_searchKernel, 1, &global_work_offset, &global_work_size, &local_work_size, 0, nullptr, nullptr);
if (ret != CL_SUCCESS) {
LOG_ERR("%s" RED(" error ") RED_BOLD("%s") RED(" when calling ") RED_BOLD("clEnqueueNDRangeKernel") RED(" for kernel ") RED_BOLD("progpow_search"),
ocl_tag(), OclError::toString(ret));
throw std::runtime_error(OclError::toString(ret));
}
uint32_t output[16] = {};
enqueueReadBuffer(m_output, CL_TRUE, 0, sizeof(output), output);
if (output[0] > 15) {
output[0] = 15;
}
hashOutput[0xFF] = output[0];
memcpy(hashOutput, output + 1, output[0] * sizeof(uint32_t));
}
void OclKawPowRunner::set(const Job &job, uint8_t *blob)
{
m_blockHeight = static_cast<uint32_t>(job.height());
m_searchProgram = OclKawPow::get(*this, m_blockHeight);
m_searchKernel = OclLib::createKernel(m_searchProgram, "progpow_search");
const uint32_t epoch = m_blockHeight / KPHash::EPOCH_LENGTH;
const uint64_t dag_size = KPCache::dag_size(epoch);
if (dag_size > m_dagCapacity) {
OclLib::release(m_dag);
m_dagCapacity = VirtualMemory::align(dag_size, 16 * 1024 * 1024);
m_dag = OclLib::createBuffer(m_ctx, CL_MEM_READ_WRITE, m_dagCapacity);
}
if (epoch != m_epoch) {
m_epoch = epoch;
{
std::lock_guard<std::mutex> lock(KPCache::s_cacheMutex);
KPCache::s_cache.init(epoch);
if (KPCache::s_cache.size() > m_lightCacheCapacity) {
OclLib::release(m_lightCache);
m_lightCacheCapacity = VirtualMemory::align(KPCache::s_cache.size());
m_lightCache = OclLib::createBuffer(m_ctx, CL_MEM_READ_ONLY, m_lightCacheCapacity);
}
m_lightCacheSize = KPCache::s_cache.size();
enqueueWriteBuffer(m_lightCache, CL_TRUE, 0, m_lightCacheSize, KPCache::s_cache.data());
}
const uint64_t start_ms = Chrono::steadyMSecs();
const uint32_t dag_words = dag_size / sizeof(node);
m_calculateDagKernel->setArgs(0, m_lightCache, m_dag, dag_words, m_lightCacheSize / sizeof(node));
constexpr uint32_t N = 1 << 18;
for (uint32_t start = 0; start < dag_words; start += N) {
m_calculateDagKernel->setArg(0, sizeof(start), &start);
m_calculateDagKernel->enqueue(m_queue, N, m_workGroupSize);
}
OclLib::finish(m_queue);
LOG_INFO("KawPow DAG for epoch %u calculated (%" PRIu64 " ms)", epoch, Chrono::steadyMSecs() - start_ms);
}
const uint64_t target = job.target();
const uint32_t hack_false = 0;
OclLib::setKernelArg(m_searchKernel, 0, sizeof(m_dag), &m_dag);
OclLib::setKernelArg(m_searchKernel, 1, sizeof(m_input), &m_input);
OclLib::setKernelArg(m_searchKernel, 2, sizeof(target), &target);
OclLib::setKernelArg(m_searchKernel, 3, sizeof(hack_false), &hack_false);
OclLib::setKernelArg(m_searchKernel, 4, sizeof(m_output), &m_output);
m_blob = blob;
enqueueWriteBuffer(m_input, CL_TRUE, 0, sizeof(m_blob), m_blob);
}
void xmrig::OclKawPowRunner::build()
{
OclBaseRunner::build();
m_calculateDagKernel = new KawPow_CalculateDAGKernel(m_program);
}
void xmrig::OclKawPowRunner::init()
{
OclBaseRunner::init();
}
} // namespace xmrig

View file

@ -22,49 +22,58 @@
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef XMRIG_OCLRYORUNNER_H
#define XMRIG_OCLRYORUNNER_H
#ifndef XMRIG_OCLKAWPOWRUNNER_H
#define XMRIG_OCLKAWPOWRUNNER_H
#include "backend/opencl/runners/OclBaseRunner.h"
#include "crypto/kawpow/KPCache.h"
#include <mutex>
namespace xmrig {
class Cn00RyoKernel;
class Cn0Kernel;
class Cn1RyoKernel;
class Cn2RyoKernel;
class KawPow_CalculateDAGKernel;
class OclRyoRunner : public OclBaseRunner
class OclKawPowRunner : public OclBaseRunner
{
public:
XMRIG_DISABLE_COPY_MOVE_DEFAULT(OclRyoRunner)
XMRIG_DISABLE_COPY_MOVE_DEFAULT(OclKawPowRunner)
OclRyoRunner(size_t index, const OclLaunchData &data);
~OclRyoRunner() override;
OclKawPowRunner(size_t index, const OclLaunchData &data);
~OclKawPowRunner() override;
protected:
size_t bufferSize() const override;
void run(uint32_t nonce, uint32_t *hashOutput) override;
void set(const Job &job, uint8_t *blob) override;
void build() override;
void init() override;
private:
cl_mem m_scratchpads = nullptr;
cl_mem m_states = nullptr;
Cn00RyoKernel *m_cn00 = nullptr;
Cn0Kernel *m_cn0 = nullptr;
Cn1RyoKernel *m_cn1 = nullptr;
Cn2RyoKernel *m_cn2 = nullptr;
uint8_t* m_blob;
uint32_t m_blockHeight = 0;
uint32_t m_epoch = 0xFFFFFFFFUL;
cl_mem m_lightCache = nullptr;
size_t m_lightCacheSize = 0;
size_t m_lightCacheCapacity = 0;
cl_mem m_dag = nullptr;
size_t m_dagCapacity = 0;
KawPow_CalculateDAGKernel* m_calculateDagKernel = nullptr;
cl_program m_searchProgram = nullptr;
cl_kernel m_searchKernel = nullptr;
size_t m_workGroupSize = 64;
};
} /* namespace xmrig */
#endif // XMRIG_OCLRYORUNNER_H
#endif // XMRIG_OCLKAWPOWRUNNER_H

View file

@ -1,128 +0,0 @@
/* XMRig
* Copyright 2010 Jeff Garzik <jgarzik@pobox.com>
* Copyright 2012-2014 pooler <pooler@litecoinpool.org>
* Copyright 2014 Lucas Jones <https://github.com/lucasjones>
* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
* Copyright 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2020 XMRig <https://github.com/xmrig>, <support@xmrig.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "backend/opencl/runners/OclRyoRunner.h"
#include "backend/opencl/kernels/Cn00RyoKernel.h"
#include "backend/opencl/kernels/Cn0Kernel.h"
#include "backend/opencl/kernels/Cn1RyoKernel.h"
#include "backend/opencl/kernels/Cn2RyoKernel.h"
#include "backend/opencl/kernels/CnBranchKernel.h"
#include "backend/opencl/OclLaunchData.h"
#include "backend/opencl/wrappers/OclLib.h"
#include "base/io/log/Log.h"
#include "base/net/stratum/Job.h"
#include "crypto/cn/CnAlgo.h"
xmrig::OclRyoRunner::OclRyoRunner(size_t index, const OclLaunchData &data) : OclBaseRunner(index, data)
{
m_options += " -DITERATIONS=" + std::to_string(CnAlgo<>::iterations(m_algorithm)) + "U";
m_options += " -DMASK=" + std::to_string(CnAlgo<>::mask(m_algorithm)) + "U";
m_options += " -DWORKSIZE=" + std::to_string(data.thread.worksize()) + "U";
m_options += " -DMEMORY=" + std::to_string(m_algorithm.l3()) + "LU";
m_options += " -DCN_UNROLL=" + std::to_string(data.thread.unrollFactor());
m_options += " -cl-fp32-correctly-rounded-divide-sqrt";
}
xmrig::OclRyoRunner::~OclRyoRunner()
{
delete m_cn00;
delete m_cn0;
delete m_cn1;
delete m_cn2;
OclLib::release(m_scratchpads);
OclLib::release(m_states);
}
size_t xmrig::OclRyoRunner::bufferSize() const
{
return OclBaseRunner::bufferSize() + align(data().algorithm.l3() * m_intensity) + align(200 * m_intensity);
}
void xmrig::OclRyoRunner::run(uint32_t nonce, uint32_t *hashOutput)
{
static const cl_uint zero = 0;
const size_t w_size = data().thread.worksize();
const size_t g_thd = ((m_intensity + w_size - 1u) / w_size) * w_size;
assert(g_thd % w_size == 0);
enqueueWriteBuffer(m_output, CL_FALSE, sizeof(cl_uint) * 0xFF, sizeof(cl_uint), &zero);
m_cn0->enqueue(m_queue, nonce, g_thd);
m_cn00->enqueue(m_queue, g_thd);
m_cn1->enqueue(m_queue, g_thd, w_size);
m_cn2->enqueue(m_queue, nonce, g_thd);
finalize(hashOutput);
}
void xmrig::OclRyoRunner::set(const Job &job, uint8_t *blob)
{
if (job.size() > (Job::kMaxBlobSize - 4)) {
throw std::length_error("job size too big");
}
blob[job.size()] = 0x01;
memset(blob + job.size() + 1, 0, Job::kMaxBlobSize - job.size() - 1);
enqueueWriteBuffer(m_input, CL_TRUE, 0, Job::kMaxBlobSize, blob);
m_cn2->setTarget(job.target());
}
void xmrig::OclRyoRunner::build()
{
OclBaseRunner::build();
m_cn00 = new Cn00RyoKernel(m_program);
m_cn00->setArgs(m_scratchpads, m_states);
m_cn0 = new Cn0Kernel(m_program);
m_cn0->setArgs(m_input, m_scratchpads, m_states, m_intensity);
m_cn1 = new Cn1RyoKernel(m_program);
m_cn1->setArgs(m_scratchpads, m_states, m_intensity);
m_cn2 = new Cn2RyoKernel(m_program);
m_cn2->setArgs(m_scratchpads, m_states, m_output, m_intensity);
}
void xmrig::OclRyoRunner::init()
{
OclBaseRunner::init();
m_scratchpads = createSubBuffer(CL_MEM_READ_WRITE, data().algorithm.l3() * m_intensity);
m_states = createSubBuffer(CL_MEM_READ_WRITE, 200 * m_intensity);
}

View file

@ -67,9 +67,9 @@ public:
cl_program program;
private:
const Algorithm m_algo;
const uint32_t m_index;
const uint64_t m_offset;
Algorithm m_algo;
uint32_t m_index;
uint64_t m_offset;
};
@ -126,10 +126,11 @@ private:
void gc(uint64_t offset)
{
for (size_t i = 0; i < m_data.size();) {
const auto &entry = m_data[i];
auto &entry = m_data[i];
if (entry.isExpired(offset)) {
m_data.back().release();
entry.release();
entry = m_data.back();
m_data.pop_back();
}
else {

View file

@ -0,0 +1,406 @@
/* XMRig
* Copyright 2010 Jeff Garzik <jgarzik@pobox.com>
* Copyright 2012-2014 pooler <pooler@litecoinpool.org>
* Copyright 2014 Lucas Jones <https://github.com/lucasjones>
* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
* Copyright 2018-2019 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2019 XMRig <https://github.com/xmrig>, <support@xmrig.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "backend/opencl/runners/tools/OclKawPow.h"
#include "backend/opencl/cl/kawpow/kawpow_cl.h"
#include "backend/opencl/interfaces/IOclRunner.h"
#include "backend/opencl/OclCache.h"
#include "backend/opencl/OclLaunchData.h"
#include "backend/opencl/OclThread.h"
#include "backend/opencl/wrappers/OclError.h"
#include "backend/opencl/wrappers/OclLib.h"
#include "base/io/log/Log.h"
#include "base/tools/Baton.h"
#include "base/tools/Chrono.h"
#include "crypto/kawpow/KPHash.h"
#include "3rdparty/libethash/ethash_internal.h"
#include "3rdparty/libethash/data_sizes.h"
#include <cstring>
#include <mutex>
#include <regex>
#include <sstream>
#include <string>
#include <thread>
#include <uv.h>
namespace xmrig {
class KawPowCacheEntry
{
public:
inline KawPowCacheEntry(const Algorithm &algo, uint64_t period, uint32_t index, cl_program program) :
program(program),
m_algo(algo),
m_index(index),
m_period(period)
{}
inline bool isExpired(uint64_t period) const { return m_period + 1 < period; }
inline bool match(const Algorithm &algo, uint64_t period, uint32_t index) const { return m_algo == algo && m_period == period && m_index == index; }
inline bool match(const IOclRunner &runner, uint64_t period) const { return match(runner.algorithm(), period, runner.deviceIndex()); }
inline void release() { OclLib::release(program); }
cl_program program;
private:
Algorithm m_algo;
uint32_t m_index;
uint64_t m_period;
};
class KawPowCache
{
public:
KawPowCache() = default;
inline cl_program search(const IOclRunner &runner, uint64_t period) { return search(runner.algorithm(), period, runner.deviceIndex()); }
inline cl_program search(const Algorithm &algo, uint64_t period, uint32_t index)
{
std::lock_guard<std::mutex> lock(m_mutex);
for (const auto &entry : m_data) {
if (entry.match(algo, period, index)) {
return entry.program;
}
}
return nullptr;
}
void add(const Algorithm &algo, uint64_t period, uint32_t index, cl_program program)
{
if (search(algo, period, index)) {
OclLib::release(program);
return;
}
std::lock_guard<std::mutex> lock(m_mutex);
gc(period);
m_data.emplace_back(algo, period, index, program);
}
void clear()
{
std::lock_guard<std::mutex> lock(m_mutex);
for (auto &entry : m_data) {
entry.release();
}
m_data.clear();
}
private:
void gc(uint64_t period)
{
for (size_t i = 0; i < m_data.size();) {
auto& entry = m_data[i];
if (entry.isExpired(period)) {
entry.release();
entry = m_data.back();
m_data.pop_back();
}
else {
++i;
}
}
}
std::mutex m_mutex;
std::vector<KawPowCacheEntry> m_data;
};
static KawPowCache cache;
#define rnd() (kiss99(rnd_state))
#define mix_src() ("mix[" + std::to_string(rnd() % KPHash::REGS) + "]")
#define mix_dst() ("mix[" + std::to_string(mix_seq_dst[(mix_seq_dst_cnt++) % KPHash::REGS]) + "]")
#define mix_cache() ("mix[" + std::to_string(mix_seq_cache[(mix_seq_cache_cnt++) % KPHash::REGS]) + "]")
class KawPowBuilder
{
public:
cl_program build(const IOclRunner &runner, uint64_t period)
{
std::lock_guard<std::mutex> lock(m_mutex);
const uint64_t ts = Chrono::steadyMSecs();
cl_program program = cache.search(runner, period);
if (program) {
return program;
}
cl_int ret;
const std::string source = getSource(period);
cl_device_id device = runner.data().device.id();
const char *s = source.c_str();
program = OclLib::createProgramWithSource(runner.ctx(), 1, &s, nullptr, &ret);
if (ret != CL_SUCCESS) {
return nullptr;
}
std::string options = " -DPROGPOW_DAG_ELEMENTS=";
const uint64_t epoch = (period * KPHash::PERIOD_LENGTH) / KPHash::EPOCH_LENGTH;
const uint64_t dag_elements = dag_sizes[epoch] / 256;
options += std::to_string(dag_elements);
options += runner.buildOptions();
if (OclLib::buildProgram(program, 1, &device, options.c_str()) != CL_SUCCESS) {
printf("BUILD LOG:\n%s\n", OclLib::getProgramBuildLog(program, device).data());
OclLib::release(program);
return nullptr;
}
LOG_INFO("KawPow program for period %" PRIu64 " compiled. (%" PRIu64 "ms)", period, Chrono::steadyMSecs() - ts);
cache.add(runner.algorithm(), period, runner.deviceIndex(), program);
return program;
}
private:
std::mutex m_mutex;
typedef struct {
uint32_t z, w, jsr, jcong;
} kiss99_t;
std::string getSource(uint64_t prog_seed) const
{
std::stringstream ret;
uint32_t seed0 = static_cast<uint32_t>(prog_seed);
uint32_t seed1 = static_cast<uint32_t>(prog_seed >> 32);
kiss99_t rnd_state;
uint32_t fnv_hash = 0x811c9dc5;
rnd_state.z = fnv1a(fnv_hash, seed0);
rnd_state.w = fnv1a(fnv_hash, seed1);
rnd_state.jsr = fnv1a(fnv_hash, seed0);
rnd_state.jcong = fnv1a(fnv_hash, seed1);
// Create a random sequence of mix destinations and cache sources
// Merge is a read-modify-write, guaranteeing every mix element is modified every loop
// Guarantee no cache load is duplicated and can be optimized away
int mix_seq_dst[KPHash::REGS];
int mix_seq_cache[KPHash::REGS];
int mix_seq_dst_cnt = 0;
int mix_seq_cache_cnt = 0;
for (int i = 0; i < KPHash::REGS; i++) {
mix_seq_dst[i] = i;
mix_seq_cache[i] = i;
}
for (int i = KPHash::REGS - 1; i > 0; i--) {
int j;
j = rnd() % (i + 1);
std::swap(mix_seq_dst[i], mix_seq_dst[j]);
j = rnd() % (i + 1);
std::swap(mix_seq_cache[i], mix_seq_cache[j]);
}
for (int i = 0; (i < KPHash::CNT_CACHE) || (i < KPHash::CNT_MATH); ++i) {
if (i < KPHash::CNT_CACHE) {
// Cached memory access
// lanes access random locations
std::string src = mix_cache();
std::string dest = mix_dst();
uint32_t r = rnd();
ret << "offset = " << src << " % PROGPOW_CACHE_WORDS;\n";
ret << "data = c_dag[offset];\n";
ret << merge(dest, "data", r);
}
if (i < KPHash::CNT_MATH) {
// Random Math
// Generate 2 unique sources
int src_rnd = rnd() % ((KPHash::REGS - 1) * KPHash::REGS);
int src1 = src_rnd % KPHash::REGS; // 0 <= src1 < KPHash::REGS
int src2 = src_rnd / KPHash::REGS; // 0 <= src2 < KPHash::REGS - 1
if (src2 >= src1) ++src2; // src2 is now any reg other than src1
std::string src1_str = "mix[" + std::to_string(src1) + "]";
std::string src2_str = "mix[" + std::to_string(src2) + "]";
uint32_t r1 = rnd();
std::string dest = mix_dst();
uint32_t r2 = rnd();
ret << math("data", src1_str, src2_str, r1);
ret << merge(dest, "data", r2);
}
}
std::string kernel = std::regex_replace(std::string(kawpow_cl), std::regex("XMRIG_INCLUDE_PROGPOW_RANDOM_MATH"), ret.str());
ret.str(std::string());
ret << merge("mix[0]", "data_dag.s[0]", rnd());
constexpr size_t num_words_per_lane = 256 / (sizeof(uint32_t) * KPHash::LANES);
for (int i = 1; i < num_words_per_lane; i++)
{
std::string dest = mix_dst();
uint32_t r = rnd();
ret << merge(dest, "data_dag.s[" + std::to_string(i) + "]", r);
}
kernel = std::regex_replace(kernel, std::regex("XMRIG_INCLUDE_PROGPOW_DATA_LOADS"), ret.str());
return kernel;
}
static std::string merge(std::string a, std::string b, uint32_t r)
{
switch (r % 4)
{
case 0:
return a + " = (" + a + " * 33) + " + b + ";\n";
case 1:
return a + " = (" + a + " ^ " + b + ") * 33;\n";
case 2:
return a + " = ROTL32(" + a + ", " + std::to_string(((r >> 16) % 31) + 1) + ") ^ " + b + ";\n";
case 3:
return a + " = ROTR32(" + a + ", " + std::to_string(((r >> 16) % 31) + 1) + ") ^ " + b + ";\n";
}
return "#error\n";
}
static std::string math(std::string d, std::string a, std::string b, uint32_t r)
{
switch (r % 11)
{
case 0:
return d + " = " + a + " + " + b + ";\n";
case 1:
return d + " = " + a + " * " + b + ";\n";
case 2:
return d + " = mul_hi(" + a + ", " + b + ");\n";
case 3:
return d + " = min(" + a + ", " + b + ");\n";
case 4:
return d + " = ROTL32(" + a + ", " + b + " % 32);\n";
case 5:
return d + " = ROTR32(" + a + ", " + b + " % 32);\n";
case 6:
return d + " = " + a + " & " + b + ";\n";
case 7:
return d + " = " + a + " | " + b + ";\n";
case 8:
return d + " = " + a + " ^ " + b + ";\n";
case 9:
return d + " = clz(" + a + ") + clz(" + b + ");\n";
case 10:
return d + " = popcount(" + a + ") + popcount(" + b + ");\n";
}
return "#error\n";
}
static uint32_t fnv1a(uint32_t& h, uint32_t d)
{
return h = (h ^ d) * 0x1000193;
}
static uint32_t kiss99(kiss99_t& st)
{
st.z = 36969 * (st.z & 65535) + (st.z >> 16);
st.w = 18000 * (st.w & 65535) + (st.w >> 16);
uint32_t MWC = ((st.z << 16) + st.w);
st.jsr ^= (st.jsr << 17);
st.jsr ^= (st.jsr >> 13);
st.jsr ^= (st.jsr << 5);
st.jcong = 69069 * st.jcong + 1234567;
return ((MWC ^ st.jcong) + st.jsr);
}
};
class KawPowBaton : public Baton<uv_work_t>
{
public:
inline KawPowBaton(const IOclRunner &runner, uint64_t period) :
runner(runner),
period(period)
{}
const IOclRunner &runner;
const uint64_t period;
};
static KawPowBuilder builder;
cl_program OclKawPow::get(const IOclRunner &runner, uint64_t height)
{
const uint64_t period = height / KPHash::PERIOD_LENGTH;
KawPowBaton* baton = new KawPowBaton(runner, period + 1);
uv_queue_work(uv_default_loop(), &baton->req,
[](uv_work_t *req) {
KawPowBaton* baton = static_cast<KawPowBaton*>(req->data);
builder.build(baton->runner, baton->period);
},
[](uv_work_t *req, int) { delete static_cast<KawPowBaton*>(req->data); }
);
cl_program program = cache.search(runner, period);
if (program) {
return program;
}
return builder.build(runner, period);
}
void OclKawPow::clear()
{
cache.clear();
}
} // namespace xmrig

View file

@ -22,27 +22,32 @@
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef XMRIG_CN00RYOKERNEL_H
#define XMRIG_CN00RYOKERNEL_H
#ifndef XMRIG_OCLKAWPOW_H
#define XMRIG_OCLKAWPOW_H
#include "backend/opencl/wrappers/OclKernel.h"
#include <cstddef>
#include <cstdint>
using cl_program = struct _cl_program *;
namespace xmrig {
class Cn00RyoKernel : public OclKernel
class IOclRunner;
class OclKawPow
{
public:
inline Cn00RyoKernel(cl_program program) : OclKernel(program, "cn00") {}
void enqueue(cl_command_queue queue, size_t threads);
void setArgs(cl_mem scratchpads, cl_mem states);
static cl_program get(const IOclRunner &runner, uint64_t height);
static void clear();
};
} // namespace xmrig
#endif /* XMRIG_CN00RYOKERNEL_H */
#endif /* XMRIG_OCLKAWPOW_H */

View file

@ -57,8 +57,8 @@ extern bool ocl_generic_rx_generator(const OclDevice &device, const Algorithm &a
extern bool ocl_generic_astrobwt_generator(const OclDevice& device, const Algorithm& algorithm, OclThreads& threads);
#endif
#ifdef XMRIG_ALGO_CN_GPU
extern bool ocl_generic_cn_gpu_generator(const OclDevice &device, const Algorithm &algorithm, OclThreads &threads);
#ifdef XMRIG_ALGO_KAWPOW
extern bool ocl_generic_kawpow_generator(const OclDevice& device, const Algorithm& algorithm, OclThreads& threads);
#endif
extern bool ocl_vega_cn_generator(const OclDevice &device, const Algorithm &algorithm, OclThreads &threads);
@ -72,8 +72,8 @@ static ocl_gen_config_fun generators[] = {
# ifdef XMRIG_ALGO_ASTROBWT
ocl_generic_astrobwt_generator,
# endif
# ifdef XMRIG_ALGO_CN_GPU
ocl_generic_cn_gpu_generator,
# ifdef XMRIG_ALGO_KAWPOW
ocl_generic_kawpow_generator,
# endif
ocl_vega_cn_generator,
ocl_generic_cn_generator