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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 uses the CLTune auto-tuner to tune the xaxpy OpenCL kernels.
//
// =================================================================================================
#include <string>
#include <vector>
#include "utilities/utilities.hpp"
#include "tuning/tuning.hpp"
namespace clblast {
// =================================================================================================
// See comment at top of file for a description of the class
template <typename T>
class TuneXaxpy {
public:
// The representative kernel and the source code
static std::string KernelFamily() { return "xaxpy"; }
static std::string KernelName() { return "XaxpyFastest"; }
static std::string GetSources() {
return
#include "../src/kernels/common.opencl"
#include "../src/kernels/level1/level1.opencl"
#include "../src/kernels/level1/xaxpy.opencl"
;
}
// The list of arguments relevant for this routine
static std::vector<std::string> GetOptions() { return {kArgN, kArgAlpha}; }
// Tests for valid arguments
static void TestValidArguments(const Arguments<T> &args) {
if (!IsMultiple(args.n, 64)) {
throw std::runtime_error("'XaxpyFastest' requires 'n' to be a multiple of WGS*WPT*VW");
}
}
// Sets the default values for the arguments
static size_t DefaultM() { return 1; } // N/A for this kernel
static size_t DefaultN() { return 4096*1024; }
static size_t DefaultK() { return 1; } // N/A for this kernel
static size_t DefaultBatchCount() { return 1; } // N/A for this kernel
static double DefaultFraction() { return 1.0; } // N/A for this kernel
static size_t DefaultNumRuns() { return 10; } // run every kernel this many times for averaging
static size_t DefaultNumSearchStragegy() { return 1; } // N/A for this kernel
static size_t DefaultSwarmSizePSO() { return 8; } // N/A for this kernel
static double DefaultInfluenceGlobalPSO(){ return 0.1; }// N/A for this kernel
static double DefaultInfluenceLocalPSO(){ return 0.3; }// N/A for this kernel
static double DefaultInfluenceRandomPSO(){ return 0.6; }// N/A for this kernel
static size_t DefaultHeuristic(){ return size_t{0};} // Full search
static double DefaultMaxTempAnn(){ return 1.0;} // N/A for this kernel
// Describes how to obtain the sizes of the buffers
static size_t GetSizeX(const Arguments<T> &args) { return args.n; }
static size_t GetSizeY(const Arguments<T> &args) { return args.n; }
static size_t GetSizeA(const Arguments<T> &) { return 1; } // N/A for this kernel
static size_t GetSizeB(const Arguments<T> &) { return 1; } // N/A for this kernel
static size_t GetSizeC(const Arguments<T> &) { return 1; } // N/A for this kernel
static size_t GetSizeTemp(const Arguments<T> &) { return 1; } // N/A for this kernel
// Sets the tuning parameters and their possible values
static void SetParameters(cltune::Tuner &tuner, const size_t id) {
tuner.AddParameter(id, "WGS", {64, 128, 256, 512, 1024, 2048});
tuner.AddParameter(id, "WPT", {1, 2, 4, 8});
tuner.AddParameter(id, "VW", {1, 2, 4, 8});
}
// Sets the constraints and local memory size
static void SetConstraints(cltune::Tuner &, const size_t) { }
static void SetLocalMemorySize(cltune::Tuner &, const size_t, const Arguments<T> &) { }
// Sets the base thread configuration
static std::vector<size_t> GlobalSize(const Arguments<T> &args) { return {args.n}; }
static std::vector<size_t> GlobalSizeRef(const Arguments<T> &args) { return GlobalSize(args); }
static std::vector<size_t> LocalSize() { return {1}; }
static std::vector<size_t> LocalSizeRef() { return {64}; }
// Transforms the thread configuration based on the parameters
using TransformVector = std::vector<std::vector<std::string>>;
static TransformVector MulLocal() { return {{"WGS"}}; }
static TransformVector DivLocal() { return {}; }
static TransformVector MulGlobal() { return {}; }
static TransformVector DivGlobal() { return {{"WPT"},{"VW"}}; }
// Sets the kernel's arguments
static void SetArguments(cltune::Tuner &tuner, const Arguments<T> &args,
std::vector<T> &x_vec, std::vector<T> &y_vec,
std::vector<T> &, std::vector<T> &, std::vector<T> &,
std::vector<T> &) {
tuner.AddArgumentScalar(static_cast<int>(args.n));
tuner.AddArgumentScalar(GetRealArg(args.alpha));
tuner.AddArgumentInput(x_vec);
tuner.AddArgumentOutput(y_vec);
}
// Describes how to compute the performance metrics
static size_t GetMetric(const Arguments<T> &args) {
return 3 * args.n * GetBytes(args.precision);
}
static std::string PerformanceUnit() { return "GB/s"; }
// Returns which Heuristic to run
static size_t GetCurrentHeuristic(const Arguments<T> &args){
return size_t{0}; // Full search
}
};
// =================================================================================================
} // namespace clblast
// Shortcuts to the clblast namespace
using half = clblast::half;
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::kHalf: clblast::Tuner<clblast::TuneXaxpy<half>, half>(argc, argv); break;
case clblast::Precision::kSingle: clblast::Tuner<clblast::TuneXaxpy<float>, float>(argc, argv); break;
case clblast::Precision::kDouble: clblast::Tuner<clblast::TuneXaxpy<double>, double>(argc, argv); break;
case clblast::Precision::kComplexSingle: clblast::Tuner<clblast::TuneXaxpy<float2>, float2>(argc, argv); break;
case clblast::Precision::kComplexDouble: clblast::Tuner<clblast::TuneXaxpy<double2>, double2>(argc, argv); break;
}
return 0;
}
// =================================================================================================
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