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Merge pull request #1263 from SChernykh/evo
RandomX: added support for dataset on host
This commit is contained in:
commit
f8d1488e33
8 changed files with 33 additions and 16 deletions
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@ -40,6 +40,7 @@ static const char *kBlocks = "blocks";
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static const char *kBSleep = "bsleep";
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static const char *kIndex = "index";
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static const char *kThreads = "threads";
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static const char *kDatasetHost = "dataset_host";
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} // namespace xmrig
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@ -56,6 +57,13 @@ xmrig::CudaThread::CudaThread(const rapidjson::Value &value)
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m_bfactor = std::min(Json::getUint(value, kBFactor, m_bfactor), 12u);
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m_bsleep = Json::getUint(value, kBSleep, m_bsleep);
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m_affinity = Json::getUint64(value, kAffinity, m_affinity);
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if (Json::getValue(value, kDatasetHost).IsInt()) {
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m_dataset_host = Json::getInt(value, kDatasetHost) != 0;
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}
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else {
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m_dataset_host = Json::getBool(value, kDatasetHost);
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}
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}
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@ -64,7 +72,8 @@ xmrig::CudaThread::CudaThread(uint32_t index, nvid_ctx *ctx) :
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m_threads(CudaLib::deviceInt(ctx, CudaLib::DeviceThreads)),
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m_index(index),
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m_bfactor(CudaLib::deviceUint(ctx, CudaLib::DeviceBFactor)),
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m_bsleep(CudaLib::deviceUint(ctx, CudaLib::DeviceBSleep))
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m_bsleep(CudaLib::deviceUint(ctx, CudaLib::DeviceBSleep)),
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m_dataset_host(CudaLib::deviceInt(ctx, CudaLib::DeviceDatasetHost) != 0)
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{
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}
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@ -77,7 +86,8 @@ bool xmrig::CudaThread::isEqual(const CudaThread &other) const
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m_affinity == other.m_affinity &&
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m_index == other.m_index &&
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m_bfactor == other.m_bfactor &&
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m_bsleep == other.m_bsleep;
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m_bsleep == other.m_bsleep &&
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m_dataset_host == other.m_dataset_host;
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}
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@ -94,6 +104,7 @@ rapidjson::Value xmrig::CudaThread::toJSON(rapidjson::Document &doc) const
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out.AddMember(StringRef(kBFactor), bfactor(), allocator);
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out.AddMember(StringRef(kBSleep), bsleep(), allocator);
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out.AddMember(StringRef(kAffinity), affinity(), allocator);
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out.AddMember(StringRef(kDatasetHost), dataset_host(), allocator);
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return out;
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}
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@ -50,6 +50,7 @@ public:
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inline int32_t threads() const { return m_threads; }
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inline int64_t affinity() const { return m_affinity; }
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inline uint32_t index() const { return m_index; }
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inline uint32_t dataset_host() const { return m_dataset_host; }
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inline bool operator!=(const CudaThread &other) const { return !isEqual(other); }
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inline bool operator==(const CudaThread &other) const { return isEqual(other); }
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@ -62,6 +63,7 @@ private:
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int32_t m_threads = 0;
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int64_t m_affinity = -1;
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uint32_t m_index = 0;
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bool m_dataset_host = false;
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# ifdef _WIN32
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uint32_t m_bfactor = 6;
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@ -47,7 +47,7 @@ xmrig::CudaBaseRunner::~CudaBaseRunner()
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bool xmrig::CudaBaseRunner::init()
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{
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m_ctx = CudaLib::alloc(m_data.thread.index(), m_data.thread.bfactor(), m_data.thread.bsleep());
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if (CudaLib::deviceInfo(m_ctx, m_data.thread.blocks(), m_data.thread.threads(), m_data.algorithm) != 0) {
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if (CudaLib::deviceInfo(m_ctx, m_data.thread.blocks(), m_data.thread.threads(), m_data.algorithm, m_data.thread.dataset_host() ? 1 : 0) != 0) {
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return false;
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}
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@ -42,6 +42,8 @@ xmrig::CudaRxRunner::CudaRxRunner(size_t index, const CudaLaunchData &data) : Cu
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}
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m_intensity -= m_intensity % 32;
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m_dataset_host = m_data.thread.dataset_host();
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}
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@ -59,7 +61,7 @@ bool xmrig::CudaRxRunner::set(const Job &job, uint8_t *blob)
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}
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auto dataset = Rx::dataset(job, 0);
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m_ready = callWrapper(CudaLib::rxPrepare(m_ctx, dataset->raw(), dataset->size(false), m_intensity));
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m_ready = callWrapper(CudaLib::rxPrepare(m_ctx, dataset->raw(), dataset->size(false), m_dataset_host, m_intensity));
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return m_ready;
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}
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@ -46,6 +46,7 @@ protected:
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private:
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bool m_ready = false;
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size_t m_intensity = 0;
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bool m_dataset_host = false;
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};
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@ -41,7 +41,7 @@ xmrig::CudaDevice::CudaDevice(uint32_t index, int32_t bfactor, int32_t bsleep) :
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m_index(index)
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{
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auto ctx = CudaLib::alloc(index, bfactor, bsleep);
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if (CudaLib::deviceInfo(ctx, 0, 0, Algorithm::INVALID) != 0) {
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if (CudaLib::deviceInfo(ctx, 0, 0, Algorithm::INVALID, 0) != 0) {
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CudaLib::release(ctx);
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return;
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@ -107,7 +107,7 @@ uint32_t xmrig::CudaDevice::smx() const
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void xmrig::CudaDevice::generate(const Algorithm &algorithm, CudaThreads &threads) const
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{
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if (CudaLib::deviceInfo(m_ctx, -1, -1, algorithm) != 0) {
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if (CudaLib::deviceInfo(m_ctx, -1, -1, algorithm, 0) != 0) {
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return;
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}
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@ -67,7 +67,7 @@ static const char *kVersion = "version";
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using alloc_t = nvid_ctx * (*)(uint32_t, int32_t, int32_t);
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using cnHash_t = bool (*)(nvid_ctx *, uint32_t, uint64_t, uint64_t, uint32_t *, uint32_t *);
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using deviceCount_t = uint32_t (*)();
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using deviceInfo_t = int32_t (*)(nvid_ctx *, int32_t, int32_t, int32_t);
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using deviceInfo_t = int32_t (*)(nvid_ctx *, int32_t, int32_t, int32_t, int32_t);
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using deviceInit_t = bool (*)(nvid_ctx *);
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using deviceInt_t = int32_t (*)(nvid_ctx *, CudaLib::DeviceProperty);
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using deviceName_t = const char * (*)(nvid_ctx *);
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@ -78,7 +78,7 @@ using lastError_t = const char * (*)(nvid_
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using pluginVersion_t = const char * (*)();
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using release_t = void (*)(nvid_ctx *);
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using rxHash_t = bool (*)(nvid_ctx *, uint32_t, uint64_t, uint32_t *, uint32_t *);
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using rxPrepare_t = bool (*)(nvid_ctx *, const void *, size_t, uint32_t);
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using rxPrepare_t = bool (*)(nvid_ctx *, const void *, size_t, bool, uint32_t);
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using setJob_t = bool (*)(nvid_ctx *, const void *, size_t, int32_t);
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using version_t = uint32_t (*)(Version);
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@ -155,9 +155,9 @@ bool xmrig::CudaLib::rxHash(nvid_ctx *ctx, uint32_t startNonce, uint64_t target,
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}
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bool xmrig::CudaLib::rxPrepare(nvid_ctx *ctx, const void *dataset, size_t datasetSize, uint32_t batchSize) noexcept
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bool xmrig::CudaLib::rxPrepare(nvid_ctx *ctx, const void *dataset, size_t datasetSize, bool dataset_host, uint32_t batchSize) noexcept
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{
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return pRxPrepare(ctx, dataset, datasetSize, batchSize);
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return pRxPrepare(ctx, dataset, datasetSize, dataset_host, batchSize);
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}
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@ -185,9 +185,9 @@ const char *xmrig::CudaLib::pluginVersion() noexcept
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}
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int xmrig::CudaLib::deviceInfo(nvid_ctx *ctx, int32_t blocks, int32_t threads, const Algorithm &algorithm) noexcept
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int xmrig::CudaLib::deviceInfo(nvid_ctx *ctx, int32_t blocks, int32_t threads, const Algorithm &algorithm, int32_t dataset_host) noexcept
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{
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return pDeviceInfo(ctx, blocks, threads, algorithm);
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return pDeviceInfo(ctx, blocks, threads, algorithm, dataset_host);
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}
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@ -272,7 +272,7 @@ bool xmrig::CudaLib::load()
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return false;
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}
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if (pVersion(ApiVersion) != 1u) {
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if (pVersion(ApiVersion) != 2u) {
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return false;
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}
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@ -61,7 +61,8 @@ public:
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DeviceMemoryFree,
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DevicePciBusID,
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DevicePciDeviceID,
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DevicePciDomainID
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DevicePciDomainID,
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DeviceDatasetHost,
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};
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static bool init(const char *fileName = nullptr);
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@ -74,12 +75,12 @@ public:
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static bool cnHash(nvid_ctx *ctx, uint32_t startNonce, uint64_t height, uint64_t target, uint32_t *rescount, uint32_t *resnonce);
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static bool deviceInit(nvid_ctx *ctx) noexcept;
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static bool rxHash(nvid_ctx *ctx, uint32_t startNonce, uint64_t target, uint32_t *rescount, uint32_t *resnonce) noexcept;
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static bool rxPrepare(nvid_ctx *ctx, const void *dataset, size_t datasetSize, uint32_t batchSize) noexcept;
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static bool rxPrepare(nvid_ctx *ctx, const void *dataset, size_t datasetSize, bool dataset_host, uint32_t batchSize) noexcept;
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static bool setJob(nvid_ctx *ctx, const void *data, size_t size, const Algorithm &algorithm) noexcept;
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static const char *deviceName(nvid_ctx *ctx) noexcept;
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static const char *lastError(nvid_ctx *ctx) noexcept;
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static const char *pluginVersion() noexcept;
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static int deviceInfo(nvid_ctx *ctx, int32_t blocks, int32_t threads, const Algorithm &algorithm) noexcept;
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static int deviceInfo(nvid_ctx *ctx, int32_t blocks, int32_t threads, const Algorithm &algorithm, int32_t dataset_host) noexcept;
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static int32_t deviceInt(nvid_ctx *ctx, DeviceProperty property) noexcept;
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static nvid_ctx *alloc(uint32_t id, int32_t bfactor, int32_t bsleep) noexcept;
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static std::string version(uint32_t version);
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