summaryrefslogtreecommitdiff
path: root/src/tuning/xaxpy.cc
diff options
context:
space:
mode:
Diffstat (limited to 'src/tuning/xaxpy.cc')
-rw-r--r--src/tuning/xaxpy.cc133
1 files changed, 83 insertions, 50 deletions
diff --git a/src/tuning/xaxpy.cc b/src/tuning/xaxpy.cc
index 20b5978e..cc9e81d3 100644
--- a/src/tuning/xaxpy.cc
+++ b/src/tuning/xaxpy.cc
@@ -7,13 +7,12 @@
// Author(s):
// Cedric Nugteren <www.cedricnugteren.nl>
//
-// This file implements an auto-tuner to tune the Xaxpy OpenCL kernel. It uses the CLTune library.
+// This file uses the CLTune auto-tuner to tune the xaxpy OpenCL kernels.
//
// =================================================================================================
#include <string>
#include <vector>
-#include <stdexcept>
#include "internal/utilities.h"
#include "internal/tuning.h"
@@ -21,66 +20,100 @@
namespace clblast {
// =================================================================================================
-// The Xaxpy auto-tuner
+// See comment at top of file for a description of the class
template <typename T>
-void XaxpyTune(const Arguments<T> &args,
- const std::vector<T> &x_vec, std::vector<T> &y_vec,
- cltune::Tuner &tuner) {
-
- // The XaxpyFast kernel only works under certain conditions. Check here whether the condition is
- // true for the reference kernel
- if (!IsMultiple(args.n, 64)) {
- throw std::runtime_error("The 'XaxpyFast' kernel requires 'n' to be a multiple of WGS*WPT*VW");
+class TuneXaxpy {
+ public:
+
+ // The representative kernel and the source code
+ static std::string KernelFamily() { return "xaxpy"; }
+ static std::string KernelName() { return "XaxpyFast"; }
+ static std::string GetSources() {
+ return
+ #include "../src/kernels/common.opencl"
+ #include "../src/kernels/xaxpy.opencl"
+ ;
}
- // This points to the XaxpyFast kernel as found in the CLBlast library
- std::string sources =
- #include "../src/kernels/common.opencl"
- #include "../src/kernels/xaxpy.opencl"
- ;
- auto id = tuner.AddKernelFromString(sources, "XaxpyFast", {args.n}, {1});
- tuner.SetReferenceFromString(sources, "XaxpyFast", {args.n}, {64});
-
- // Sets the tunable parameters and their possible values
- 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});
-
- // Tests for a specific precision
- tuner.AddParameter(id, "PRECISION", {static_cast<size_t>(args.precision)});
- tuner.AddParameterReference("PRECISION", static_cast<size_t>(args.precision));
-
- // Modifies the thread-sizes (local) based on the parameters
- tuner.MulLocalSize(id, {"WGS"});
- tuner.DivGlobalSize(id, {"WPT"});
- tuner.DivGlobalSize(id, {"VW"});
-
- // Sets the function's arguments
- tuner.AddArgumentScalar(static_cast<int>(args.n));
- tuner.AddArgumentScalar(args.alpha);
- tuner.AddArgumentInput(x_vec);
- tuner.AddArgumentOutput(y_vec);
-}
+ // 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("'XaxpyFast' requires 'n' to be a multiple of WGS*WPT*VW");
+ }
+ }
-// Main function which calls the common client code with the routine-specific function as argument.
-void TunerXaxpy(int argc, char *argv[]) {
- switch(GetPrecision(argc, argv)) {
- case Precision::kHalf: throw std::runtime_error("Unsupported precision mode");
- case Precision::kSingle: TunerXY<float>(argc, argv, XaxpyTune<float>); break;
- case Precision::kDouble: TunerXY<double>(argc, argv, XaxpyTune<double>); break;
- case Precision::kComplexSingle: TunerXY<float2>(argc, argv, XaxpyTune<float2>); break;
- case Precision::kComplexDouble: TunerXY<double2>(argc, argv, XaxpyTune<double2>); break;
+ // 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 double DefaultFraction() { 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; } // N/A for this kernel
+ static size_t GetSizeY(const Arguments<T> &args) { return args.n; } // N/A for this kernel
+ 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
+
+ // 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> 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> &) {
+ tuner.AddArgumentScalar(static_cast<int>(args.n));
+ tuner.AddArgumentScalar(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"; }
+};
// =================================================================================================
} // 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[]) {
- clblast::TunerXaxpy(argc, argv);
+ switch(clblast::GetPrecision(argc, argv)) {
+ case clblast::Precision::kHalf: throw std::runtime_error("Unsupported precision mode");
+ 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;
}