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// =================================================================================================
// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
// width of 100 characters per line.
//
// Author(s):
// Cedric Nugteren <www.cedricnugteren.nl>
//
// This file tunes the Xtrsv routine at a high-level: choosing an appropriate block size
//
// =================================================================================================
#include <exception>
#include <string>
#include <vector>
#include <limits>
#include "utilities/utilities.hpp"
#include "tuning/tuning.hpp"
#include "routines/routines.hpp"
namespace clblast {
// =================================================================================================
constexpr auto size = size_t{1024}; // 'n' argument
template <typename T>
void SetBlockSize(const size_t value, const Device &device) {
const auto override_status = OverrideParameters(device(), "TrsvRoutine", PrecisionValue<T>(),
{{"TRSV_BLOCK_SIZE", value}});
if (override_status != StatusCode::kSuccess) {
throw RuntimeError("OverrideParameters failed with status " + ToString(override_status));
}
}
template <typename T>
void RunTrsvRoutine(const size_t block_size, Queue& queue, const std::vector<Buffer<T>>& buffers) {
SetBlockSize<T>(block_size, queue.GetDevice());
auto event = cl_event{};
auto routine = Xtrsv<T>(queue, nullptr);
routine.DoTrsv(Layout::kRowMajor, Triangle::kLower, Transpose::kNo, Diagonal::kNonUnit,
size,
buffers[0], 0, size, // A matrix
buffers[1], 0, 1); // X vector
clWaitForEvents(1, &event);
clReleaseEvent(event);
}
template <typename T>
void TuneXtrsv(int argc, char* argv[]) {
auto command_line_args = RetrieveCommandLineArguments(argc, argv);
auto help = std::string{"* Options given/available:\n"};
const auto platform_id = GetArgument(command_line_args, help, kArgPlatform, ConvertArgument(std::getenv("CLBLAST_PLATFORM"), size_t{0}));
const auto device_id = GetArgument(command_line_args, help, kArgDevice, ConvertArgument(std::getenv("CLBLAST_DEVICE"), size_t{0}));
const auto precision = GetArgument(command_line_args, help, kArgPrecision, Precision::kSingle);
const auto num_runs = GetArgument(command_line_args, help, kArgNumRuns, size_t{10});
fprintf(stdout, "%s\n", help.c_str());
// Values for the block size
const auto from = size_t{8};
const auto to = size_t{32 + 1};
const auto step = size_t{8};
// OpenCL initialisation
const auto platform = Platform(platform_id);
const auto device = Device(platform, device_id);
if (!PrecisionSupported<T>(device)) {
printf("* Unsupported precision, skipping this tuning run\n");
return;
}
const auto context = Context(device);
auto queue = Queue(context, device);
// Buffers
auto buffers = std::vector<Buffer<T>>{
Buffer<T>(context, size * size),
Buffer<T>(context, size)
};
// Performance testing
const auto results = TimeRoutine(from, to, step, num_runs, queue, buffers, RunTrsvRoutine<T>);
// Stores the results in the expected format
auto scores = std::vector<TuningResult>();
for (const auto &result : results) {
if (result.second != -1) {
auto tuning_results = Configuration();
tuning_results["TRSV_BLOCK_SIZE"] = result.first;
tuning_results["PRECISION"] = static_cast<size_t>(precision);
scores.emplace_back(TuningResult{"trsv_routine", result.second, tuning_results});
}
}
// Computes the best result
auto best_time = std::numeric_limits<double>::max();
auto best_value = size_t{0};
for (const auto &result : results) {
if (result.second != -1 && result.second < best_time) {
best_time = result.second;
best_value = result.first;
}
}
const auto best_string = "TRSV_BLOCK_SIZE=" + ToString(best_value);
// Outputs the results as JSON to disk, including some meta-data
const auto precision_string = std::to_string(static_cast<size_t>(precision));
auto metadata = std::vector<std::pair<std::string,std::string>>{
{"kernel_family", "trsv_routine"},
{"precision", precision_string},
{"arg_n", ToString(size)},
{"best_kernel", "trsv_routine"},
{"best_time", ToString(best_time)},
{"best_parameters", best_string}
};
PrintTimingsToFileAsJSON("clblast_routine_xtrsv_" + precision_string + ".json",
device, platform, metadata, scores);
printf("* Completed tuning process\n");
printf("\n");
}
// =================================================================================================
} // namespace clblast
// Shortcuts to the clblast namespace
using float2 = clblast::float2;
using double2 = clblast::double2;
// Main function (not within the clblast namespace)
int main(int argc, char *argv[]) {
const auto command_line_args = clblast::RetrieveCommandLineArguments(argc, argv);
switch(clblast::GetPrecision(command_line_args)) {
case clblast::Precision::kSingle: clblast::TuneXtrsv<float>(argc, argv); break;
case clblast::Precision::kDouble: clblast::TuneXtrsv<double>(argc, argv); break;
case clblast::Precision::kComplexSingle: clblast::TuneXtrsv<float2>(argc, argv); break;
case clblast::Precision::kComplexDouble: clblast::TuneXtrsv<double2>(argc, argv); break;
}
return 0;
}
// =================================================================================================
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