mirror of
https://github.com/xmrig/xmrig.git
synced 2024-11-18 18:11:05 +00:00
Added autoconfig for cn/gpu.
This commit is contained in:
parent
859626cbe3
commit
29790da63d
10 changed files with 157 additions and 33 deletions
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@ -136,8 +136,8 @@ public:
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device.printableName().data(),
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device.printableName().data(),
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device.clock(),
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device.clock(),
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device.computeUnits(),
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device.computeUnits(),
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device.freeMem() / oneMiB,
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device.freeMemSize() / oneMiB,
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device.globalMem() / oneMiB);
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device.globalMemSize() / oneMiB);
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}
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}
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}
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}
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@ -44,7 +44,7 @@ static const char *kPlatform = "platform";
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#ifdef XMRIG_ALGO_CN_GPU
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#ifdef XMRIG_ALGO_CN_GPU
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//static const char *kCnGPU = "cn/gpu";
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static const char *kCnGPU = "cn/gpu";
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#endif
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#endif
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#ifdef XMRIG_ALGO_CN_LITE
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#ifdef XMRIG_ALGO_CN_LITE
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@ -225,7 +225,7 @@ void xmrig::OclConfig::generate()
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m_threads.move(kCn2, xmrig::generate(Algorithm::CN_2, devices));
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m_threads.move(kCn2, xmrig::generate(Algorithm::CN_2, devices));
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# ifdef XMRIG_ALGO_CN_GPU
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# ifdef XMRIG_ALGO_CN_GPU
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// m_threads.move(kCnGPU, xmrig::generate(Algorithm::CN_GPU, devices));
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m_threads.move(kCnGPU, xmrig::generate(Algorithm::CN_GPU, devices));
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# endif
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# endif
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# ifdef XMRIG_ALGO_CN_LITE
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# ifdef XMRIG_ALGO_CN_LITE
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@ -69,6 +69,9 @@ xmrig::OclThread::OclThread(const rapidjson::Value &value)
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m_stridedIndex = std::min(si[0].GetUint(), 2u);
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m_stridedIndex = std::min(si[0].GetUint(), 2u);
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m_memChunk = std::min(si[1].GetUint(), 18u);
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m_memChunk = std::min(si[1].GetUint(), 18u);
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}
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}
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else {
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m_fields.set(STRIDED_INDEX_FIELD, false);
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}
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const rapidjson::Value &threads = Json::getArray(value, kThreads);
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const rapidjson::Value &threads = Json::getArray(value, kThreads);
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if (threads.IsArray()) {
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if (threads.IsArray()) {
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@ -112,10 +115,13 @@ rapidjson::Value xmrig::OclThread::toJSON(rapidjson::Document &doc) const
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out.AddMember(StringRef(kIntensity), intensity(), allocator);
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out.AddMember(StringRef(kIntensity), intensity(), allocator);
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out.AddMember(StringRef(kWorksize), worksize(), allocator);
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out.AddMember(StringRef(kWorksize), worksize(), allocator);
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Value si(kArrayType);
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if (m_fields.test(STRIDED_INDEX_FIELD)) {
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si.Reserve(2, allocator);
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Value si(kArrayType);
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si.PushBack(stridedIndex(), allocator);
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si.Reserve(2, allocator);
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si.PushBack(memChunk(), allocator);
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si.PushBack(stridedIndex(), allocator);
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si.PushBack(memChunk(), allocator);
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out.AddMember(StringRef(kStridedIndex), si, allocator);
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}
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Value threads(kArrayType);
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Value threads(kArrayType);
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threads.Reserve(m_threads.size(), allocator);
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threads.Reserve(m_threads.size(), allocator);
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@ -124,7 +130,6 @@ rapidjson::Value xmrig::OclThread::toJSON(rapidjson::Document &doc) const
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threads.PushBack(thread, allocator);
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threads.PushBack(thread, allocator);
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}
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}
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out.AddMember(StringRef(kStridedIndex), si, allocator);
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out.AddMember(StringRef(kThreads), threads, allocator);
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out.AddMember(StringRef(kThreads), threads, allocator);
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out.AddMember(StringRef(kUnroll), unrollFactor(), allocator);
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out.AddMember(StringRef(kUnroll), unrollFactor(), allocator);
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@ -30,6 +30,7 @@
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#include "rapidjson/fwd.h"
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#include "rapidjson/fwd.h"
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#include <bitset>
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#include <vector>
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#include <vector>
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@ -40,8 +41,7 @@ class OclThread
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{
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{
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public:
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public:
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OclThread() = delete;
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OclThread() = delete;
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OclThread(uint32_t index, uint32_t intensity, uint32_t worksize, uint32_t stridedIndex, uint32_t memChunk, uint32_t threads, uint32_t unrollFactor, const Algorithm &algorithm) :
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OclThread(uint32_t index, uint32_t intensity, uint32_t worksize, uint32_t stridedIndex, uint32_t memChunk, uint32_t threads, uint32_t unrollFactor) :
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m_algorithm(algorithm),
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m_threads(threads, -1),
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m_threads(threads, -1),
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m_index(index),
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m_index(index),
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m_memChunk(memChunk),
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m_memChunk(memChunk),
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@ -52,6 +52,20 @@ public:
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setIntensity(intensity);
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setIntensity(intensity);
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}
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}
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# ifdef XMRIG_ALGO_CN_GPU
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OclThread(uint32_t index, uint32_t intensity, uint32_t worksize, uint32_t threads, uint32_t unrollFactor) :
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m_fields(0),
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m_threads(threads, -1),
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m_index(index),
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m_memChunk(0),
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m_stridedIndex(0),
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m_unrollFactor(unrollFactor),
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m_worksize(worksize)
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{
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setIntensity(intensity);
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}
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# endif
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OclThread(const rapidjson::Value &value);
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OclThread(const rapidjson::Value &value);
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inline bool isValid() const { return m_intensity > 0; }
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inline bool isValid() const { return m_intensity > 0; }
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@ -73,19 +87,25 @@ public:
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rapidjson::Value toJSON(rapidjson::Document &doc) const;
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rapidjson::Value toJSON(rapidjson::Document &doc) const;
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private:
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private:
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enum Fields {
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STRIDED_INDEX_FIELD,
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RANDOMX_FIELDS,
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FIELD_MAX
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};
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inline void setIntensity(uint32_t intensity) { m_intensity = intensity / m_worksize * m_worksize; }
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inline void setIntensity(uint32_t intensity) { m_intensity = intensity / m_worksize * m_worksize; }
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Algorithm m_algorithm;
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int m_datasetHost = -1;
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int m_datasetHost = -1;
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std::bitset<FIELD_MAX> m_fields = 1;
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std::vector<int64_t> m_threads;
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std::vector<int64_t> m_threads;
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uint32_t m_bfactor = 6;
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uint32_t m_bfactor = 6;
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uint32_t m_gcnAsm = 1;
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uint32_t m_gcnAsm = 1;
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uint32_t m_index = 0;
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uint32_t m_index = 0;
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uint32_t m_intensity = 0;
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uint32_t m_intensity = 0;
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uint32_t m_memChunk = 2;
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uint32_t m_memChunk = 2;
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uint32_t m_stridedIndex = 2;
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uint32_t m_stridedIndex = 2;
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uint32_t m_unrollFactor = 8;
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uint32_t m_unrollFactor = 8;
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uint32_t m_worksize = 0;
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uint32_t m_worksize = 0;
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};
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};
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@ -50,7 +50,7 @@ static inline uint32_t getPossibleIntensity(const OclDevice &device, const Algor
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{
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{
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const uint32_t maxThreads = getMaxThreads(device, algorithm);
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const uint32_t maxThreads = getMaxThreads(device, algorithm);
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const size_t minFreeMem = (maxThreads == 40000u ? 512u : 128u) * oneMiB;
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const size_t minFreeMem = (maxThreads == 40000u ? 512u : 128u) * oneMiB;
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const size_t availableMem = device.freeMem() - minFreeMem;
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const size_t availableMem = device.freeMemSize() - minFreeMem;
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const size_t perThread = algorithm.l3() + 224u;
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const size_t perThread = algorithm.l3() + 224u;
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const auto maxIntensity = static_cast<uint32_t>(availableMem / perThread);
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const auto maxIntensity = static_cast<uint32_t>(availableMem / perThread);
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@ -104,9 +104,9 @@ bool ocl_generic_cn_generator(const OclDevice &device, const Algorithm &algorith
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return false;
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return false;
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}
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}
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const uint32_t threadCount = ((device.globalMem() - intensity * 2 * algorithm.l3()) > 128 * oneMiB) ? 2 : 1;
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const uint32_t threadCount = ((device.globalMemSize() - intensity * 2 * algorithm.l3()) > 128 * oneMiB) ? 2 : 1;
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threads.add(OclThread(device.index(), intensity, 8, getStridedIndex(device, algorithm), 2, threadCount, 8, algorithm));
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threads.add(OclThread(device.index(), intensity, 8, getStridedIndex(device, algorithm), 2, threadCount, 8));
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return true;
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return true;
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}
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}
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@ -0,0 +1,84 @@
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/* XMRig
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* Copyright 2010 Jeff Garzik <jgarzik@pobox.com>
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* Copyright 2012-2014 pooler <pooler@litecoinpool.org>
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* Copyright 2014 Lucas Jones <https://github.com/lucasjones>
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* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
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* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
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* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
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* Copyright 2018 Lee Clagett <https://github.com/vtnerd>
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* Copyright 2018-2019 SChernykh <https://github.com/SChernykh>
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* Copyright 2016-2019 XMRig <https://github.com/xmrig>, <support@xmrig.com>
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include "backend/opencl/OclThreads.h"
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#include "backend/opencl/wrappers/OclDevice.h"
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#include "crypto/common/Algorithm.h"
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namespace xmrig {
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constexpr const size_t oneMiB = 1024u * 1024u;
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bool ocl_generic_cn_gpu_generator(const OclDevice &device, const Algorithm &algorithm, OclThreads &threads)
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{
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if (algorithm != Algorithm::CN_GPU) {
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return false;
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}
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uint32_t worksize = 8;
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uint32_t numThreads = 1u;
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size_t minFreeMem = 128u * oneMiB;
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if (device.type() == OclDevice::Vega_10 || device.type() == OclDevice::Vega_20) {
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minFreeMem = oneMiB;
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worksize = 16;
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}
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else if (device.type() == OclDevice::Navi_10) {
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numThreads = 2u;
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}
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else if (device.name() == "Fiji") {
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worksize = 16;
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}
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size_t maxThreads = device.computeUnits() * 6 * 8;
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const size_t maxAvailableFreeMem = device.freeMemSize() - minFreeMem;
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const size_t memPerThread = std::min(device.maxMemAllocSize(), maxAvailableFreeMem);
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size_t memPerHash = algorithm.l3() + 240u;
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size_t maxIntensity = memPerThread / memPerHash;
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size_t possibleIntensity = std::min(maxThreads, maxIntensity);
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size_t intensity = 0;
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size_t cuUtilization = ((possibleIntensity * 100) / (worksize * device.computeUnits())) % 100;
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if (cuUtilization >= 75) {
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intensity = (possibleIntensity / worksize) * worksize;
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}
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else {
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intensity = (possibleIntensity / (worksize * device.computeUnits())) * device.computeUnits() * worksize;
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}
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threads.add(OclThread(device.index(), intensity, worksize, numThreads, 1));
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return true;
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}
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} // namespace xmrig
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@ -61,7 +61,7 @@ static inline uint32_t getMaxThreads(const OclDevice &device, const Algorithm &a
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static inline uint32_t getPossibleIntensity(const OclDevice &device, const Algorithm &algorithm)
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static inline uint32_t getPossibleIntensity(const OclDevice &device, const Algorithm &algorithm)
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{
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{
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const uint32_t maxThreads = getMaxThreads(device, algorithm);
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const uint32_t maxThreads = getMaxThreads(device, algorithm);
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const size_t availableMem = device.freeMem() - (128u * oneMiB);
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const size_t availableMem = device.freeMemSize() - (128u * oneMiB);
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const size_t perThread = algorithm.l3() + 224u;
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const size_t perThread = algorithm.l3() + 224u;
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const auto maxIntensity = static_cast<uint32_t>(availableMem / perThread);
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const auto maxIntensity = static_cast<uint32_t>(availableMem / perThread);
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@ -123,7 +123,7 @@ bool ocl_vega_cn_generator(const OclDevice &device, const Algorithm &algorithm,
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const uint32_t worksize = getWorksize(algorithm);
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const uint32_t worksize = getWorksize(algorithm);
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const uint32_t memChunk = getMemChunk(algorithm);
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const uint32_t memChunk = getMemChunk(algorithm);
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threads.add(OclThread(device.index(), intensity, worksize, getStridedIndex(algorithm), memChunk, 2, 8, algorithm));
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threads.add(OclThread(device.index(), intensity, worksize, getStridedIndex(algorithm), memChunk, 2, 8));
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return true;
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return true;
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}
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}
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@ -5,8 +5,6 @@ if (WITH_OPENCL)
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set(HEADERS_BACKEND_OPENCL
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set(HEADERS_BACKEND_OPENCL
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src/backend/opencl/cl/OclSource.h
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src/backend/opencl/cl/OclSource.h
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src/backend/opencl/generators/ocl_generic_cn_generator.cpp
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src/backend/opencl/generators/ocl_vega_cn_generator.cpp
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src/backend/opencl/interfaces/IOclRunner.h
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src/backend/opencl/interfaces/IOclRunner.h
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src/backend/opencl/kernels/Cn0Kernel.h
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src/backend/opencl/kernels/Cn0Kernel.h
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src/backend/opencl/kernels/Cn1Kernel.h
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src/backend/opencl/kernels/Cn1Kernel.h
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@ -35,6 +33,8 @@ if (WITH_OPENCL)
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set(SOURCES_BACKEND_OPENCL
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set(SOURCES_BACKEND_OPENCL
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src/backend/opencl/cl/OclSource.cpp
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src/backend/opencl/cl/OclSource.cpp
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src/backend/opencl/generators/ocl_generic_cn_generator.cpp
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src/backend/opencl/generators/ocl_vega_cn_generator.cpp
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src/backend/opencl/kernels/Cn0Kernel.cpp
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src/backend/opencl/kernels/Cn0Kernel.cpp
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src/backend/opencl/kernels/Cn1Kernel.cpp
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src/backend/opencl/kernels/Cn1Kernel.cpp
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src/backend/opencl/kernels/Cn2Kernel.cpp
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src/backend/opencl/kernels/Cn2Kernel.cpp
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@ -78,6 +78,7 @@ if (WITH_OPENCL)
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)
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)
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list(APPEND SOURCES_BACKEND_OPENCL
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list(APPEND SOURCES_BACKEND_OPENCL
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src/backend/opencl/generators/ocl_generic_cn_gpu_generator.cpp
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src/backend/opencl/kernels/Cn00RyoKernel.cpp
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src/backend/opencl/kernels/Cn00RyoKernel.cpp
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src/backend/opencl/kernels/Cn1RyoKernel.cpp
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src/backend/opencl/kernels/Cn1RyoKernel.cpp
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src/backend/opencl/kernels/Cn2RyoKernel.cpp
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src/backend/opencl/kernels/Cn2RyoKernel.cpp
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@ -47,11 +47,18 @@ typedef union
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namespace xmrig {
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namespace xmrig {
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#ifdef XMRIG_ALGO_CN_GPU
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extern bool ocl_generic_cn_gpu_generator(const OclDevice &device, const Algorithm &algorithm, OclThreads &threads);
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#endif
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extern bool ocl_vega_cn_generator(const OclDevice &device, const Algorithm &algorithm, OclThreads &threads);
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extern bool ocl_vega_cn_generator(const OclDevice &device, const Algorithm &algorithm, OclThreads &threads);
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extern bool ocl_generic_cn_generator(const OclDevice &device, const Algorithm &algorithm, OclThreads &threads);
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extern bool ocl_generic_cn_generator(const OclDevice &device, const Algorithm &algorithm, OclThreads &threads);
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ocl_gen_config_fun generators[] = {
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ocl_gen_config_fun generators[] = {
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# ifdef XMRIG_ALGO_CN_GPU
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ocl_generic_cn_gpu_generator,
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# endif
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ocl_vega_cn_generator,
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ocl_vega_cn_generator,
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ocl_generic_cn_generator
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ocl_generic_cn_generator
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};
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};
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||||||
|
@ -149,18 +156,24 @@ xmrig::OclDevice::OclDevice(uint32_t index, cl_device_id id, cl_platform_id plat
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
size_t xmrig::OclDevice::freeMem() const
|
size_t xmrig::OclDevice::freeMemSize() const
|
||||||
{
|
{
|
||||||
return std::min<size_t>(OclLib::getDeviceUlong(id(), CL_DEVICE_MAX_MEM_ALLOC_SIZE), globalMem());
|
return std::min(maxMemAllocSize(), globalMemSize());
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
size_t xmrig::OclDevice::globalMem() const
|
size_t xmrig::OclDevice::globalMemSize() const
|
||||||
{
|
{
|
||||||
return OclLib::getDeviceUlong(id(), CL_DEVICE_GLOBAL_MEM_SIZE);
|
return OclLib::getDeviceUlong(id(), CL_DEVICE_GLOBAL_MEM_SIZE);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
|
size_t xmrig::OclDevice::maxMemAllocSize() const
|
||||||
|
{
|
||||||
|
return OclLib::getDeviceUlong(id(), CL_DEVICE_MAX_MEM_ALLOC_SIZE);
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
xmrig::String xmrig::OclDevice::printableName() const
|
xmrig::String xmrig::OclDevice::printableName() const
|
||||||
{
|
{
|
||||||
const size_t size = m_board.size() + m_name.size() + 64;
|
const size_t size = m_board.size() + m_name.size() + 64;
|
||||||
|
|
|
@ -62,8 +62,9 @@ public:
|
||||||
OclDevice() = delete;
|
OclDevice() = delete;
|
||||||
OclDevice(uint32_t index, cl_device_id id, cl_platform_id platform);
|
OclDevice(uint32_t index, cl_device_id id, cl_platform_id platform);
|
||||||
|
|
||||||
size_t freeMem() const;
|
size_t freeMemSize() const;
|
||||||
size_t globalMem() const;
|
size_t globalMemSize() const;
|
||||||
|
size_t maxMemAllocSize() const;
|
||||||
String printableName() const;
|
String printableName() const;
|
||||||
uint32_t clock() const;
|
uint32_t clock() const;
|
||||||
void generate(const Algorithm &algorithm, OclThreads &threads) const;
|
void generate(const Algorithm &algorithm, OclThreads &threads) const;
|
||||||
|
|
Loading…
Reference in a new issue