Files
mines/zano/libethash-cl/CLMiner.cpp

961 lines
34 KiB
C++

/// OpenCL miner implementation.
///
/// @file
/// @copyright GNU General Public License
#include <boost/dll.hpp>
#include <libethcore/Farm.h>
#include "CLMiner.h"
#include "CLMiner_kernel.h"
#include <ethash/ethash.hpp>
#include "CLMiner.h"
#include <iostream>
#include <fstream>
using namespace dev;
using namespace eth;
namespace dev
{
namespace eth
{
// WARNING: Do not change the value of the following constant
// unless you are prepared to make the neccessary adjustments
// to the assembly code for the binary kernels.
const size_t c_maxSearchResults = 15;
struct CLChannel : public LogChannel
{
static const char* name() { return EthOrange "cl"; }
static const int verbosity = 2;
static const bool debug = false;
};
#define cllog clog(CLChannel)
#define ETHCL_LOG(_contents) cllog << _contents
/**
* Returns the name of a numerical cl_int error
* Takes constants from CL/cl.h and returns them in a readable format
*/
static const char* strClError(cl_int err)
{
switch (err)
{
case CL_SUCCESS:
return "CL_SUCCESS";
case CL_DEVICE_NOT_FOUND:
return "CL_DEVICE_NOT_FOUND";
case CL_DEVICE_NOT_AVAILABLE:
return "CL_DEVICE_NOT_AVAILABLE";
case CL_COMPILER_NOT_AVAILABLE:
return "CL_COMPILER_NOT_AVAILABLE";
case CL_MEM_OBJECT_ALLOCATION_FAILURE:
return "CL_MEM_OBJECT_ALLOCATION_FAILURE";
case CL_OUT_OF_RESOURCES:
return "CL_OUT_OF_RESOURCES";
case CL_OUT_OF_HOST_MEMORY:
return "CL_OUT_OF_HOST_MEMORY";
case CL_PROFILING_INFO_NOT_AVAILABLE:
return "CL_PROFILING_INFO_NOT_AVAILABLE";
case CL_MEM_COPY_OVERLAP:
return "CL_MEM_COPY_OVERLAP";
case CL_IMAGE_FORMAT_MISMATCH:
return "CL_IMAGE_FORMAT_MISMATCH";
case CL_IMAGE_FORMAT_NOT_SUPPORTED:
return "CL_IMAGE_FORMAT_NOT_SUPPORTED";
case CL_BUILD_PROGRAM_FAILURE:
return "CL_BUILD_PROGRAM_FAILURE";
case CL_MAP_FAILURE:
return "CL_MAP_FAILURE";
case CL_MISALIGNED_SUB_BUFFER_OFFSET:
return "CL_MISALIGNED_SUB_BUFFER_OFFSET";
case CL_EXEC_STATUS_ERROR_FOR_EVENTS_IN_WAIT_LIST:
return "CL_EXEC_STATUS_ERROR_FOR_EVENTS_IN_WAIT_LIST";
#ifdef CL_VERSION_1_2
case CL_COMPILE_PROGRAM_FAILURE:
return "CL_COMPILE_PROGRAM_FAILURE";
case CL_LINKER_NOT_AVAILABLE:
return "CL_LINKER_NOT_AVAILABLE";
case CL_LINK_PROGRAM_FAILURE:
return "CL_LINK_PROGRAM_FAILURE";
case CL_DEVICE_PARTITION_FAILED:
return "CL_DEVICE_PARTITION_FAILED";
case CL_KERNEL_ARG_INFO_NOT_AVAILABLE:
return "CL_KERNEL_ARG_INFO_NOT_AVAILABLE";
#endif // CL_VERSION_1_2
case CL_INVALID_VALUE:
return "CL_INVALID_VALUE";
case CL_INVALID_DEVICE_TYPE:
return "CL_INVALID_DEVICE_TYPE";
case CL_INVALID_PLATFORM:
return "CL_INVALID_PLATFORM";
case CL_INVALID_DEVICE:
return "CL_INVALID_DEVICE";
case CL_INVALID_CONTEXT:
return "CL_INVALID_CONTEXT";
case CL_INVALID_QUEUE_PROPERTIES:
return "CL_INVALID_QUEUE_PROPERTIES";
case CL_INVALID_COMMAND_QUEUE:
return "CL_INVALID_COMMAND_QUEUE";
case CL_INVALID_HOST_PTR:
return "CL_INVALID_HOST_PTR";
case CL_INVALID_MEM_OBJECT:
return "CL_INVALID_MEM_OBJECT";
case CL_INVALID_IMAGE_FORMAT_DESCRIPTOR:
return "CL_INVALID_IMAGE_FORMAT_DESCRIPTOR";
case CL_INVALID_IMAGE_SIZE:
return "CL_INVALID_IMAGE_SIZE";
case CL_INVALID_SAMPLER:
return "CL_INVALID_SAMPLER";
case CL_INVALID_BINARY:
return "CL_INVALID_BINARY";
case CL_INVALID_BUILD_OPTIONS:
return "CL_INVALID_BUILD_OPTIONS";
case CL_INVALID_PROGRAM:
return "CL_INVALID_PROGRAM";
case CL_INVALID_PROGRAM_EXECUTABLE:
return "CL_INVALID_PROGRAM_EXECUTABLE";
case CL_INVALID_KERNEL_NAME:
return "CL_INVALID_KERNEL_NAME";
case CL_INVALID_KERNEL_DEFINITION:
return "CL_INVALID_KERNEL_DEFINITION";
case CL_INVALID_KERNEL:
return "CL_INVALID_KERNEL";
case CL_INVALID_ARG_INDEX:
return "CL_INVALID_ARG_INDEX";
case CL_INVALID_ARG_VALUE:
return "CL_INVALID_ARG_VALUE";
case CL_INVALID_ARG_SIZE:
return "CL_INVALID_ARG_SIZE";
case CL_INVALID_KERNEL_ARGS:
return "CL_INVALID_KERNEL_ARGS";
case CL_INVALID_WORK_DIMENSION:
return "CL_INVALID_WORK_DIMENSION";
case CL_INVALID_WORK_GROUP_SIZE:
return "CL_INVALID_WORK_GROUP_SIZE";
case CL_INVALID_WORK_ITEM_SIZE:
return "CL_INVALID_WORK_ITEM_SIZE";
case CL_INVALID_GLOBAL_OFFSET:
return "CL_INVALID_GLOBAL_OFFSET";
case CL_INVALID_EVENT_WAIT_LIST:
return "CL_INVALID_EVENT_WAIT_LIST";
case CL_INVALID_EVENT:
return "CL_INVALID_EVENT";
case CL_INVALID_OPERATION:
return "CL_INVALID_OPERATION";
case CL_INVALID_GL_OBJECT:
return "CL_INVALID_GL_OBJECT";
case CL_INVALID_BUFFER_SIZE:
return "CL_INVALID_BUFFER_SIZE";
case CL_INVALID_MIP_LEVEL:
return "CL_INVALID_MIP_LEVEL";
case CL_INVALID_GLOBAL_WORK_SIZE:
return "CL_INVALID_GLOBAL_WORK_SIZE";
case CL_INVALID_PROPERTY:
return "CL_INVALID_PROPERTY";
#ifdef CL_VERSION_1_2
case CL_INVALID_IMAGE_DESCRIPTOR:
return "CL_INVALID_IMAGE_DESCRIPTOR";
case CL_INVALID_COMPILER_OPTIONS:
return "CL_INVALID_COMPILER_OPTIONS";
case CL_INVALID_LINKER_OPTIONS:
return "CL_INVALID_LINKER_OPTIONS";
case CL_INVALID_DEVICE_PARTITION_COUNT:
return "CL_INVALID_DEVICE_PARTITION_COUNT";
#endif // CL_VERSION_1_2
#ifdef CL_VERSION_2_0
case CL_INVALID_PIPE_SIZE:
return "CL_INVALID_PIPE_SIZE";
case CL_INVALID_DEVICE_QUEUE:
return "CL_INVALID_DEVICE_QUEUE";
#endif // CL_VERSION_2_0
#ifdef CL_VERSION_2_2
case CL_INVALID_SPEC_ID:
return "CL_INVALID_SPEC_ID";
case CL_MAX_SIZE_RESTRICTION_EXCEEDED:
return "CL_MAX_SIZE_RESTRICTION_EXCEEDED";
#endif // CL_VERSION_2_2
}
return "Unknown CL error encountered";
}
/**
* Prints cl::Errors in a uniform way
* @param msg text prepending the error message
* @param clerr cl:Error object
*
* Prints errors in the format:
* msg: what(), string err() (numeric err())
*/
static std::string ethCLErrorHelper(const char* msg, cl::Error const& clerr)
{
std::ostringstream osstream;
osstream << msg << ": " << clerr.what() << ": " << strClError(clerr.err()) << " ("
<< clerr.err() << ")";
return osstream.str();
}
namespace
{
void addDefinition(string& _source, char const* _id, unsigned _value)
{
char buf[256];
sprintf(buf, "#define %s %uu\n", _id, _value);
_source.insert(_source.begin(), buf, buf + strlen(buf));
}
std::vector<cl::Platform> getPlatforms()
{
vector<cl::Platform> platforms;
try
{
cl::Platform::get(&platforms);
}
catch (cl::Error const& err)
{
#if defined(CL_PLATFORM_NOT_FOUND_KHR)
if (err.err() == CL_PLATFORM_NOT_FOUND_KHR)
std::cerr << "No OpenCL platforms found" << std::endl;
else
#endif
std::cerr << "OpenCL error : " << err.what();
}
return platforms;
}
std::vector<cl::Device> getDevices(
std::vector<cl::Platform> const& _platforms, unsigned _platformId)
{
vector<cl::Device> devices;
size_t platform_num = min<size_t>(_platformId, _platforms.size() - 1);
try
{
_platforms[platform_num].getDevices(
CL_DEVICE_TYPE_GPU | CL_DEVICE_TYPE_ACCELERATOR, &devices);
}
catch (cl::Error const& err)
{
// if simply no devices found return empty vector
if (err.err() != CL_DEVICE_NOT_FOUND)
throw err;
}
return devices;
}
} // namespace
} // namespace eth
} // namespace dev
CLMiner::CLMiner(unsigned _index, CLSettings _settings, DeviceDescriptor& _device)
: Miner("cl-", _index), m_settings(_settings)
{
m_deviceDescriptor = _device;
m_settings.localWorkSize = ((m_settings.localWorkSize + 7) / 8) * 8;
m_settings.globalWorkSize = m_settings.localWorkSize * m_settings.globalWorkSizeMultiplier;
}
CLMiner::~CLMiner()
{
stopWorking();
kick_miner();
}
// NOTE: The following struct must match the one defined in
// ethash.cl
struct SearchResults
{
struct
{
uint32_t gid;
// Can't use h256 data type here since h256 contains
// more than raw data. Kernel returns raw mix hash.
uint32_t mix[8];
uint32_t pad[7]; // pad to 16 words for easy indexing
} rslt[c_maxSearchResults];
uint32_t count;
uint32_t hashCount;
uint32_t abort;
};
void CLMiner::workLoop()
{
// Memory for zero-ing buffers. Cannot be static or const because crashes on macOS.
static uint32_t zerox3[3] = {0, 0, 0};
uint64_t startNonce = 0;
// The work package currently processed by GPU.
WorkPackage current;
current.header = h256();
uint64_t old_period_seed = -1;
int old_epoch = -1;
if (!initDevice())
return;
try
{
// Read results.
SearchResults results;
// zero the result count
m_queue.enqueueWriteBuffer(
m_searchBuffer, CL_TRUE, offsetof(SearchResults, count), sizeof(zerox3), zerox3);
while (!shouldStop())
{
// no need to read the abort flag.
m_queue.enqueueReadBuffer(m_searchBuffer, CL_TRUE, offsetof(SearchResults, count),
2 * sizeof(results.count), (void*)&results.count);
if (results.count)
{
m_queue.enqueueReadBuffer(m_searchBuffer, CL_TRUE, 0,
results.count * sizeof(results.rslt[0]), (void*)&results);
}
// clean the solution count, hash count, and abort flag
m_queue.enqueueWriteBuffer(
m_searchBuffer, CL_FALSE, offsetof(SearchResults, count), sizeof(zerox3), zerox3);
m_kickEnabled.store(true, std::memory_order_relaxed);
// Wait for work or 3 seconds (whichever the first)
const WorkPackage next = work();
if (!next)
{
boost::system_time const timeout =
boost::get_system_time() + boost::posix_time::seconds(3);
boost::mutex::scoped_lock l(x_work);
m_new_work_signal.timed_wait(l, timeout);
continue;
}
if (current.header != next.header)
{
uint64_t period_seed = next.block / PROGPOW_PERIOD;
if (m_nextProgpowPeriod == 0)
{
m_nextProgpowPeriod = period_seed;
// g_io_service.post(
// m_progpow_io_strand.wrap(boost::bind(&CLMiner::asyncCompile, this)));
// Use thread, don't want to block the io service
m_compileThread = new boost::thread(boost::bind(&CLMiner::asyncCompile, this));
}
if (old_period_seed != period_seed)
{
m_compileThread->join();
// sanity check the next kernel
if (period_seed != m_nextProgpowPeriod)
{
// This shouldn't happen!!! Try to recover
m_nextProgpowPeriod = period_seed;
m_compileThread =
new boost::thread(boost::bind(&CLMiner::asyncCompile, this));
m_compileThread->join();
}
m_program = m_nextProgram;
m_searchKernel = m_nextSearchKernel;
old_period_seed = period_seed;
m_nextProgpowPeriod = period_seed + 1;
cllog << "Loaded period " << period_seed << " progpow kernel";
// g_io_service.post(
// m_progpow_io_strand.wrap(boost::bind(&CLMiner::asyncCompile, this)));
m_compileThread = new boost::thread(boost::bind(&CLMiner::asyncCompile, this));
continue;
}
if (old_epoch != next.epoch)
{
if (!initEpoch())
break; // This will simply exit the thread
old_epoch = next.epoch;
continue;
}
// Upper 64 bits of the boundary.
const uint64_t target = (uint64_t)(u64)((u256)next.boundary >> 192);
assert(target > 0);
startNonce = next.startNonce;
// Update header constant buffer.
m_queue.enqueueWriteBuffer(m_header, CL_FALSE, 0, 32, next.header.data());
m_searchKernel.setArg(0, m_searchBuffer); // Supply output buffer to kernel.
m_searchKernel.setArg(1, m_header); // Supply header buffer to kernel.
m_searchKernel.setArg(2, *m_dag); // Supply DAG buffer to kernel.
m_searchKernel.setArg(4, target);
#ifdef DEV_BUILD
if (g_logOptions & LOG_SWITCH)
cllog << "Switch time: "
<< std::chrono::duration_cast<std::chrono::microseconds>(
std::chrono::steady_clock::now() - m_workSwitchStart)
.count()
<< " us.";
#endif
}
// Run the kernel.
m_searchKernel.setArg(3, startNonce);
m_queue.enqueueNDRangeKernel(
m_searchKernel, cl::NullRange, m_settings.globalWorkSize, m_settings.localWorkSize);
if (results.count)
{
// Report results while the kernel is running.
for (uint32_t i = 0; i < results.count; i++)
{
uint64_t nonce = current.startNonce + results.rslt[i].gid;
h256 mix;
memcpy(mix.data(), (char*)results.rslt[i].mix, sizeof(results.rslt[i].mix));
Farm::f().submitProof(Solution{
nonce, mix, current, std::chrono::steady_clock::now(), m_index});
cllog << EthWhite << "Job: " << current.header.abridged() << " Sol: 0x"
<< toHex(nonce) << EthReset;
}
}
current = next; // kernel now processing newest work
current.startNonce = startNonce;
// Increase start nonce for following kernel execution.
startNonce += m_settings.globalWorkSize;
// Report hash count
updateHashRate(m_settings.localWorkSize, results.hashCount);
}
m_queue.finish();
m_abortqueue.finish();
}
catch (cl::Error const& _e)
{
string _what = ethCLErrorHelper("OpenCL Error", _e);
throw std::runtime_error(_what);
}
}
void CLMiner::kick_miner()
{
// Memory for abort Cannot be static because crashes on macOS.
bool f = true;
if (m_kickEnabled.compare_exchange_weak(f, false, std::memory_order_relaxed))
{
static const uint32_t one = 1;
m_abortqueue.enqueueWriteBuffer(
m_searchBuffer, CL_TRUE, offsetof(SearchResults, abort), sizeof(one), &one);
}
m_new_work_signal.notify_one();
}
void CLMiner::enumDevices(std::map<string, DeviceDescriptor>& _DevicesCollection)
{
// Load available platforms
vector<cl::Platform> platforms = getPlatforms();
if (platforms.empty())
return;
unsigned int dIdx = 0;
for (unsigned int pIdx = 0; pIdx < platforms.size(); pIdx++)
{
std::string platformName = platforms.at(pIdx).getInfo<CL_PLATFORM_NAME>();
ClPlatformTypeEnum platformType = ClPlatformTypeEnum::Unknown;
if (platformName == "AMD Accelerated Parallel Processing")
platformType = ClPlatformTypeEnum::Amd;
else if (platformName == "Clover")
platformType = ClPlatformTypeEnum::Clover;
else if (platformName == "NVIDIA CUDA")
platformType = ClPlatformTypeEnum::Nvidia;
else
{
std::cerr << "Unrecognized platform " << platformName << std::endl;
continue;
}
std::string platformVersion = platforms.at(pIdx).getInfo<CL_PLATFORM_VERSION>();
unsigned int platformVersionMajor = std::stoi(platformVersion.substr(7, 1));
unsigned int platformVersionMinor = std::stoi(platformVersion.substr(9, 1));
dIdx = 0;
vector<cl::Device> devices = getDevices(platforms, pIdx);
for (auto const& device : devices)
{
DeviceTypeEnum clDeviceType = DeviceTypeEnum::Unknown;
cl_device_type detectedType = device.getInfo<CL_DEVICE_TYPE>();
if (detectedType == CL_DEVICE_TYPE_GPU)
clDeviceType = DeviceTypeEnum::Gpu;
else if (detectedType == CL_DEVICE_TYPE_CPU)
clDeviceType = DeviceTypeEnum::Cpu;
else if (detectedType == CL_DEVICE_TYPE_ACCELERATOR)
clDeviceType = DeviceTypeEnum::Accelerator;
string uniqueId;
DeviceDescriptor deviceDescriptor;
if (clDeviceType == DeviceTypeEnum::Gpu && platformType == ClPlatformTypeEnum::Nvidia)
{
cl_int bus_id, slot_id;
if (clGetDeviceInfo(device.get(), 0x4008, sizeof(bus_id), &bus_id, NULL) ==
CL_SUCCESS &&
clGetDeviceInfo(device.get(), 0x4009, sizeof(slot_id), &slot_id, NULL) ==
CL_SUCCESS)
{
std::ostringstream s;
s << setfill('0') << setw(2) << hex << bus_id << ":" << setw(2)
<< (unsigned int)(slot_id >> 3) << "." << (unsigned int)(slot_id & 0x7);
uniqueId = s.str();
}
}
else if (clDeviceType == DeviceTypeEnum::Gpu &&
(platformType == ClPlatformTypeEnum::Amd ||
platformType == ClPlatformTypeEnum::Clover))
{
cl_char t[24];
if (clGetDeviceInfo(device.get(), 0x4037, sizeof(t), &t, NULL) == CL_SUCCESS)
{
std::ostringstream s;
s << setfill('0') << setw(2) << hex << (unsigned int)(t[21]) << ":" << setw(2)
<< (unsigned int)(t[22]) << "." << (unsigned int)(t[23]);
uniqueId = s.str();
}
}
else if (clDeviceType == DeviceTypeEnum::Cpu)
{
std::ostringstream s;
s << "CPU:" << setfill('0') << setw(2) << hex << (pIdx + dIdx);
uniqueId = s.str();
}
else
{
// We're not prepared (yet) to handle other platforms or types
++dIdx;
continue;
}
if (_DevicesCollection.find(uniqueId) != _DevicesCollection.end())
deviceDescriptor = _DevicesCollection[uniqueId];
else
deviceDescriptor = DeviceDescriptor();
// Fill the blanks by OpenCL means
deviceDescriptor.name = device.getInfo<CL_DEVICE_NAME>();
deviceDescriptor.type = clDeviceType;
deviceDescriptor.uniqueId = uniqueId;
deviceDescriptor.clDetected = true;
deviceDescriptor.clPlatformId = pIdx;
deviceDescriptor.clPlatformName = platformName;
deviceDescriptor.clPlatformType = platformType;
deviceDescriptor.clPlatformVersion = platformVersion;
deviceDescriptor.clPlatformVersionMajor = platformVersionMajor;
deviceDescriptor.clPlatformVersionMinor = platformVersionMinor;
deviceDescriptor.clDeviceOrdinal = dIdx;
deviceDescriptor.clName = deviceDescriptor.name;
deviceDescriptor.clDeviceVersion = device.getInfo<CL_DEVICE_VERSION>();
deviceDescriptor.clDeviceVersionMajor =
std::stoi(deviceDescriptor.clDeviceVersion.substr(7, 1));
deviceDescriptor.clDeviceVersionMinor =
std::stoi(deviceDescriptor.clDeviceVersion.substr(9, 1));
deviceDescriptor.totalMemory = device.getInfo<CL_DEVICE_GLOBAL_MEM_SIZE>();
deviceDescriptor.clMaxMemAlloc = device.getInfo<CL_DEVICE_MAX_MEM_ALLOC_SIZE>();
deviceDescriptor.clMaxWorkGroup = device.getInfo<CL_DEVICE_MAX_WORK_GROUP_SIZE>();
deviceDescriptor.clMaxComputeUnits = device.getInfo<CL_DEVICE_MAX_COMPUTE_UNITS>();
// Apparently some 36 CU devices return a bogus 14!!!
deviceDescriptor.clMaxComputeUnits =
deviceDescriptor.clMaxComputeUnits == 14 ? 36 : deviceDescriptor.clMaxComputeUnits;
// Is it an NVIDIA card ?
if (platformType == ClPlatformTypeEnum::Nvidia)
{
size_t siz;
clGetDeviceInfo(device.get(), CL_DEVICE_COMPUTE_CAPABILITY_MAJOR_NV,
sizeof(deviceDescriptor.clNvComputeMajor), &deviceDescriptor.clNvComputeMajor,
&siz);
clGetDeviceInfo(device.get(), CL_DEVICE_COMPUTE_CAPABILITY_MINOR_NV,
sizeof(deviceDescriptor.clNvComputeMinor), &deviceDescriptor.clNvComputeMinor,
&siz);
deviceDescriptor.clNvCompute = to_string(deviceDescriptor.clNvComputeMajor) + "." +
to_string(deviceDescriptor.clNvComputeMinor);
}
// Upsert Devices Collection
_DevicesCollection[uniqueId] = deviceDescriptor;
++dIdx;
}
}
}
bool CLMiner::initDevice()
{
// LookUp device
// Load available platforms
vector<cl::Platform> platforms = getPlatforms();
if (platforms.empty())
return false;
vector<cl::Device> devices = getDevices(platforms, m_deviceDescriptor.clPlatformId);
if (devices.empty())
return false;
m_device = devices.at(m_deviceDescriptor.clDeviceOrdinal);
// create context
m_context = cl::Context(m_device);
m_queue = cl::CommandQueue(m_context, m_device);
m_abortqueue = cl::CommandQueue(m_context, m_device);
ETHCL_LOG("Creating buffers");
// create buffer for header
m_header = cl::Buffer(m_context, CL_MEM_READ_ONLY, 32);
// create mining buffers
m_searchBuffer = cl::Buffer(m_context, CL_MEM_READ_WRITE, sizeof(SearchResults));
// Set Hardware Monitor Info
if (m_deviceDescriptor.clPlatformType == ClPlatformTypeEnum::Nvidia)
{
m_hwmoninfo.deviceType = HwMonitorInfoType::NVIDIA;
m_hwmoninfo.devicePciId = m_deviceDescriptor.uniqueId;
m_hwmoninfo.deviceIndex = -1; // Will be later on mapped by nvml (see Farm() constructor)
}
else if (m_deviceDescriptor.clPlatformType == ClPlatformTypeEnum::Amd)
{
m_hwmoninfo.deviceType = HwMonitorInfoType::AMD;
m_hwmoninfo.devicePciId = m_deviceDescriptor.uniqueId;
m_hwmoninfo.deviceIndex = -1; // Will be later on mapped by nvml (see Farm() constructor)
}
else if (m_deviceDescriptor.clPlatformType == ClPlatformTypeEnum::Clover)
{
m_hwmoninfo.deviceType = HwMonitorInfoType::UNKNOWN;
m_hwmoninfo.devicePciId = m_deviceDescriptor.uniqueId;
m_hwmoninfo.deviceIndex = -1; // Will be later on mapped by nvml (see Farm() constructor)
}
else
{
// Don't know what to do with this
cllog << "Unrecognized Platform";
return false;
}
if (m_deviceDescriptor.clPlatformVersionMajor == 1 &&
(m_deviceDescriptor.clPlatformVersionMinor == 0 ||
m_deviceDescriptor.clPlatformVersionMinor == 1))
{
if (m_deviceDescriptor.clPlatformType == ClPlatformTypeEnum::Clover)
{
cllog
<< "OpenCL " << m_deviceDescriptor.clPlatformVersion
<< " not supported, but platform Clover might work nevertheless. USE AT OWN RISK!";
}
else
{
cllog << "OpenCL " << m_deviceDescriptor.clPlatformVersion
<< " not supported. Minimum required version is 1.2";
throw new std::runtime_error("OpenCL 1.2 required");
}
}
ostringstream s;
s << "Using PciId : " << m_deviceDescriptor.uniqueId << " " << m_deviceDescriptor.clName;
if (!m_deviceDescriptor.clNvCompute.empty())
s << " (Compute " + m_deviceDescriptor.clNvCompute + ")";
else
s << " " << m_deviceDescriptor.clDeviceVersion;
s << " Memory : " << dev::getFormattedMemory((double)m_deviceDescriptor.totalMemory);
cllog << s.str();
if ((m_deviceDescriptor.clPlatformType == ClPlatformTypeEnum::Amd) &&
(m_deviceDescriptor.clMaxComputeUnits != 36))
{
m_settings.globalWorkSize =
(m_settings.globalWorkSize * m_deviceDescriptor.clMaxComputeUnits) / 36;
// make sure that global work size is evenly divisible by the local workgroup size
if (m_settings.globalWorkSize % m_settings.localWorkSize != 0)
m_settings.globalWorkSize =
((m_settings.globalWorkSize / m_settings.localWorkSize) + 1) *
m_settings.localWorkSize;
cnote << "Adjusting CL work multiplier for " << m_deviceDescriptor.clMaxComputeUnits
<< " CUs. Adjusted work multiplier: "
<< m_settings.globalWorkSize / m_settings.localWorkSize;
}
return true;
}
bool CLMiner::initEpoch_internal()
{
auto startInit = std::chrono::steady_clock::now();
size_t RequiredMemory = (m_epochContext.dagSize + m_epochContext.lightSize);
// Release the pause flag if any
resume(MinerPauseEnum::PauseDueToInsufficientMemory);
resume(MinerPauseEnum::PauseDueToInitEpochError);
// Check whether the current device has sufficient memory every time we recreate the dag
if (m_deviceDescriptor.totalMemory < RequiredMemory)
{
cllog << "Epoch " << m_epochContext.epochNumber << " requires "
<< dev::getFormattedMemory((double)RequiredMemory) << " memory. Only "
<< dev::getFormattedMemory((double)m_deviceDescriptor.totalMemory)
<< " available on device.";
pause(MinerPauseEnum::PauseDueToInsufficientMemory);
return true; // This will prevent to exit the thread and
// Eventually resume mining when changing coin or epoch (NiceHash)
}
cllog << "Generating DAG + Light : " << dev::getFormattedMemory((double)RequiredMemory);
try
{
char options[256] = {0};
#ifndef __clang__
// Nvidia
if (!m_deviceDescriptor.clNvCompute.empty())
{
m_computeCapability =
m_deviceDescriptor.clNvComputeMajor * 10 + m_deviceDescriptor.clNvComputeMinor;
int maxregs = m_computeCapability >= 35 ? 72 : 63;
sprintf(m_options, "-cl-nv-maxrregcount=%d", maxregs);
}
#endif
m_dagItems = m_epochContext.dagNumItems;
cl::Program binaryProgram;
std::string device_name = m_deviceDescriptor.clName;
/* If we have a binary kernel, we load it in tandem with the opencl,
that way, we can use the dag generate opencl code and fall back on
the default kernel if loading fails for whatever reason */
bool loadedBinary = false;
m_settings.noBinary = true;
if (!m_settings.noBinary)
{
std::ifstream kernel_file;
vector<unsigned char> bin_data;
std::stringstream fname_strm;
/* Open kernels/ethash_{devicename}_lws{local_work_size}.bin */
std::transform(device_name.begin(), device_name.end(), device_name.begin(), ::tolower);
fname_strm << boost::dll::program_location().parent_path().string()
<< "/kernels/progpow_" << device_name << "_lws" << m_settings.localWorkSize
<< ".bin";
cllog << "Loading binary kernel " << fname_strm.str();
try
{
kernel_file.open(fname_strm.str(), ios::in | ios::binary);
if (kernel_file.good())
{
/* Load the data vector with file data */
kernel_file.unsetf(std::ios::skipws);
bin_data.insert(bin_data.begin(),
std::istream_iterator<unsigned char>(kernel_file),
std::istream_iterator<unsigned char>());
/* Setup the program */
cl::Program::Binaries blobs({bin_data});
cl::Program program(m_context, {m_device}, blobs);
try
{
program.build({m_device}, options);
cllog << "Build info success:"
<< program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(m_device);
binaryProgram = program;
loadedBinary = true;
}
catch (cl::Error const&)
{
}
}
}
catch (...)
{
}
if (!loadedBinary)
{
cwarn << "Failed to load binary kernel: " << fname_strm.str();
cwarn << "Falling back to OpenCL kernel...";
}
}
// create buffer for dag
try
{
cllog << "Creating light cache buffer, size: "
<< dev::getFormattedMemory((double)m_epochContext.lightSize);
if (m_light)
delete m_light;
m_light = new cl::Buffer(m_context, CL_MEM_READ_ONLY, m_epochContext.lightSize);
cllog << "Creating DAG buffer, size: "
<< dev::getFormattedMemory((double)m_epochContext.dagSize)
<< ", free: "
<< dev::getFormattedMemory(
(double)(m_deviceDescriptor.totalMemory - RequiredMemory));
if (m_dag)
delete m_dag;
m_dag = new cl::Buffer(m_context, CL_MEM_READ_ONLY, m_epochContext.dagSize);
cllog << "Loading kernels";
m_dagKernel = cl::Kernel(m_program, "ethash_calculate_dag_item");
cllog << "Writing light cache buffer";
m_queue.enqueueWriteBuffer(
*m_light, CL_TRUE, 0, m_epochContext.lightSize, m_epochContext.lightCache);
}
catch (cl::Error const& err)
{
cwarn << ethCLErrorHelper("Creating DAG buffer failed", err);
pause(MinerPauseEnum::PauseDueToInitEpochError);
return true;
}
// GPU DAG buffer to kernel
m_searchKernel.setArg(2, *m_dag);
m_dagKernel.setArg(1, *m_light);
m_dagKernel.setArg(2, *m_dag);
m_dagKernel.setArg(3, -1);
const uint32_t workItems = m_dagItems * 2; // GPU computes partial 512-bit DAG items.
uint32_t start;
const uint32_t chunk = 10000 * m_settings.localWorkSize;
for (start = 0; start <= workItems - chunk; start += chunk)
{
m_dagKernel.setArg(0, start);
m_queue.enqueueNDRangeKernel(
m_dagKernel, cl::NullRange, chunk, m_settings.localWorkSize);
m_queue.finish();
}
if (start < workItems)
{
uint32_t groupsLeft = workItems - start;
groupsLeft = (groupsLeft + m_settings.localWorkSize - 1) / m_settings.localWorkSize;
m_dagKernel.setArg(0, start);
m_queue.enqueueNDRangeKernel(m_dagKernel, cl::NullRange,
groupsLeft * m_settings.localWorkSize, m_settings.localWorkSize);
m_queue.finish();
}
auto dagTime = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::steady_clock::now() - startInit);
cllog << dev::getFormattedMemory((double)m_epochContext.dagSize)
<< " of DAG data generated in "
<< dagTime.count() << " ms.";
}
catch (cl::Error const& err)
{
cllog << ethCLErrorHelper("OpenCL init failed", err);
pause(MinerPauseEnum::PauseDueToInitEpochError);
return false;
}
return true;
}
void CLMiner::asyncCompile()
{
auto saveName = getThreadName();
setThreadName(name().c_str());
if (!dropThreadPriority())
cllog << "Unable to lower compiler priority.";
compileKernel(m_nextProgpowPeriod, m_nextProgram, m_nextSearchKernel);
setThreadName(saveName.c_str());
}
void CLMiner::compileKernel(uint64_t period_seed, cl::Program& program, cl::Kernel& searchKernel)
{
std::string code = ProgPow::getKern(period_seed, ProgPow::KERNEL_CL);
code += string(CLMiner_kernel);
addDefinition(code, "GROUP_SIZE", m_settings.localWorkSize);
addDefinition(code, "ACCESSES", 64);
addDefinition(code, "LIGHT_WORDS", m_epochContext.lightNumItems);
addDefinition(code, "PROGPOW_DAG_BYTES", m_epochContext.dagSize);
addDefinition(code, "PROGPOW_DAG_ELEMENTS", m_epochContext.dagNumItems / 2);
addDefinition(code, "MAX_OUTPUTS", c_maxSearchResults);
int platform = 0;
switch (m_deviceDescriptor.clPlatformType) {
case ClPlatformTypeEnum::Nvidia:
platform = 1;
break;
case ClPlatformTypeEnum::Amd:
platform = 2;
break;
case ClPlatformTypeEnum::Clover:
platform = 3;
break;
default:
break;
}
addDefinition(code, "PLATFORM", platform);
addDefinition(code, "COMPUTE", m_computeCapability);
if (m_deviceDescriptor.clPlatformType == ClPlatformTypeEnum::Clover)
addDefinition(code, "LEGACY", 1);
#ifdef DEV_BUILD
std::string tmpDir;
#ifdef _WIN32
tmpDir = getenv("TEMP");
#else
tmpDir = "/tmp";
#endif
tmpDir.append("/kernel.");
tmpDir.append(std::to_string(Index()));
tmpDir.append(".");
tmpDir.append(std::to_string(period_seed));
tmpDir.append(".cl");
cllog << "Dumping " << tmpDir;
ofstream write;
write.open(tmpDir);
write << code;
write.close();
#endif
// create miner OpenCL program
cl::Program::Sources sources{code.data()};
program = cl::Program(m_context, sources);
try
{
program.build({m_device}, m_options);
}
catch (cl::BuildError const& buildErr)
{
cwarn << "OpenCL kernel build log:\n"
<< program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(m_device);
cwarn << "OpenCL kernel build error (" << buildErr.err() << "):\n" << buildErr.what();
pause(MinerPauseEnum::PauseDueToInitEpochError);
return;
}
searchKernel = cl::Kernel(program, "ethash_search");
searchKernel.setArg(1, m_header);
searchKernel.setArg(5, 0);
cllog << "Pre-compiled period " << period_seed << " OpenCL ProgPow kernel";
}