From f94d498a3773f838bcffb90fd56993a1583ad8ae Mon Sep 17 00:00:00 2001 From: Cedric Nugteren Date: Fri, 17 Nov 2017 20:57:46 +0100 Subject: Moved compilation function to separate file; removed dependency of tuners of the CLBlast library --- src/routines/common.cpp | 78 ------------------------------------------------- src/routines/common.hpp | 7 +---- 2 files changed, 1 insertion(+), 84 deletions(-) (limited to 'src/routines') diff --git a/src/routines/common.cpp b/src/routines/common.cpp index c415d9fd..5b178e53 100644 --- a/src/routines/common.cpp +++ b/src/routines/common.cpp @@ -19,84 +19,6 @@ namespace clblast { // ================================================================================================= -// Compiles a program from source code -Program CompileFromSource(const std::string &source_string, const Precision precision, - const std::string &routine_name, - const Device& device, const Context& context, - std::vector& options) { - auto header_string = std::string{""}; - - header_string += "#define PRECISION " + ToString(static_cast(precision)) + "\n"; - - // Adds the name of the routine as a define - header_string += "#define ROUTINE_" + routine_name + "\n"; - - // Not all OpenCL compilers support the 'inline' keyword. The keyword is only used for devices on - // which it is known to work with all OpenCL platforms. - if (device.IsNVIDIA() || device.IsARM()) { - header_string += "#define USE_INLINE_KEYWORD 1\n"; - } - - // For specific devices, use the non-IEE754 compliant OpenCL mad() instruction. This can improve - // performance, but might result in a reduced accuracy. - if (device.IsAMD() && device.IsGPU()) { - header_string += "#define USE_CL_MAD 1\n"; - } - - // For specific devices, use staggered/shuffled workgroup indices. - if (device.IsAMD() && device.IsGPU()) { - header_string += "#define USE_STAGGERED_INDICES 1\n"; - } - - // For specific devices add a global synchronisation barrier to the GEMM kernel to optimize - // performance through better cache behaviour - if (device.IsARM() && device.IsGPU()) { - header_string += "#define GLOBAL_MEM_FENCE 1\n"; - } - - // Optionally adds a translation header from OpenCL kernels to CUDA kernels - #ifdef CUDA_API - source_string += - #include "kernels/opencl_to_cuda.h" - ; - #endif - - // Loads the common header (typedefs and defines and such) - header_string += - #include "kernels/common.opencl" - ; - - // Prints details of the routine to compile in case of debugging in verbose mode - #ifdef VERBOSE - printf("[DEBUG] Compiling routine '%s-%s'\n", - routine_name.c_str(), ToString(precision).c_str()); - const auto start_time = std::chrono::steady_clock::now(); - #endif - - // Compiles the kernel - auto program = Program(context, header_string + source_string); - try { - program.Build(device, options); - } catch (const CLCudaAPIBuildError &e) { - if (program.StatusIsCompilationWarningOrError(e.status())) { - fprintf(stdout, "OpenCL compiler error/warning: %s\n", - program.GetBuildInfo(device).c_str()); - } - throw; - } - - // Prints the elapsed compilation time in case of debugging in verbose mode - #ifdef VERBOSE - const auto elapsed_time = std::chrono::steady_clock::now() - start_time; - const auto timing = std::chrono::duration(elapsed_time).count(); - printf("[DEBUG] Completed compilation in %.2lf ms\n", timing); - #endif - - return program; -} - -// ================================================================================================= - // Enqueues a kernel, waits for completion, and checks for errors void RunKernel(Kernel &kernel, Queue &queue, const Device &device, std::vector global, const std::vector &local, diff --git a/src/routines/common.hpp b/src/routines/common.hpp index 8a93d74a..06d001d9 100644 --- a/src/routines/common.hpp +++ b/src/routines/common.hpp @@ -20,17 +20,12 @@ #include #include "utilities/utilities.hpp" +#include "utilities/compile.hpp" #include "database/database.hpp" namespace clblast { // ================================================================================================= -// Compiles a program from source code -Program CompileFromSource(const std::string &source_string, const Precision precision, - const std::string &routine_name, - const Device& device, const Context& context, - std::vector& options); - // Enqueues a kernel, waits for completion, and checks for errors void RunKernel(Kernel &kernel, Queue &queue, const Device &device, std::vector global, const std::vector &local, -- cgit v1.2.3