AstroBWT CUDA support

2020-04-04 11:05:44 +02:00 · 2020-04-04 11:05:44 +02:00 · 7f01c5c6f3
commit 7f01c5c6f3
parent f19b2f7248
13 changed files with 214 additions and 7 deletions
--- a/src/backend/cuda/runners/CudaAstroBWTRunner.cpp
+++ b/src/backend/cuda/runners/CudaAstroBWTRunner.cpp
@ -0,0 +1,81 @@
+/* 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/CudaAstroBWTRunner.h"
+#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"
+
+
+namespace xmrig {
+
+
+    constexpr uint32_t CudaAstroBWTRunner::BWT_DATA_STRIDE;
+
+
+} // namespace xmrig
+
+
+xmrig::CudaAstroBWTRunner::CudaAstroBWTRunner(size_t index, const CudaLaunchData &data) :
+    CudaBaseRunner(index, data)
+{
+    m_intensity = m_data.thread.threads() * m_data.thread.blocks();
+    m_intensity -= m_intensity % 32;
+}
+
+
+bool xmrig::CudaAstroBWTRunner::run(uint32_t startNonce, uint32_t *rescount, uint32_t *resnonce)
+{
+    return callWrapper(CudaLib::AstroBWTHash(m_ctx, startNonce, m_target, rescount, resnonce));
+}
+
+
+bool xmrig::CudaAstroBWTRunner::set(const Job &job, uint8_t *blob)
+{
+    if (!CudaBaseRunner::set(job, blob)) {
+        return false;
+    }
+
+    return callWrapper(CudaLib::AstroBWTPrepare(m_ctx, static_cast<uint32_t>(m_intensity)));
+}
+
+size_t xmrig::CudaAstroBWTRunner::roundSize() const
+{
+    constexpr uint32_t STAGE1_SIZE = 147253;
+    constexpr uint32_t STAGE1_DATA_STRIDE = (STAGE1_SIZE + 256 + 255) & ~255U;
+
+    const uint32_t BATCH2_SIZE = m_intensity;
+    const uint32_t BWT_ALLOCATION_SIZE = BATCH2_SIZE * BWT_DATA_STRIDE;
+    const uint32_t BATCH1_SIZE = (BWT_ALLOCATION_SIZE / STAGE1_DATA_STRIDE) & ~255U;
+
+    return BATCH1_SIZE;
+}
+
+size_t xmrig::CudaAstroBWTRunner::processedHashes() const
+{
+    return CudaLib::deviceInt(m_ctx, CudaLib::DeviceAstroBWTProcessedHashes);
+}