// ================================================================================================= // 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 // // This file implements the Xswap class (see the header for information about the class). // // ================================================================================================= #include "internal/routines/level1/xswap.h" #include #include namespace clblast { // ================================================================================================= // Specific implementations to get the memory-type based on a template argument template <> const Precision Xswap::precision_ = Precision::kSingle; template <> const Precision Xswap::precision_ = Precision::kDouble; template <> const Precision Xswap::precision_ = Precision::kComplexSingle; template <> const Precision Xswap::precision_ = Precision::kComplexDouble; // ================================================================================================= // Constructor: forwards to base class constructor template Xswap::Xswap(Queue &queue, Event &event, const std::string &name): Routine(queue, event, name, {"Xaxpy"}, precision_) { source_string_ = #include "../../kernels/level1/level1.opencl" #include "../../kernels/level1/xswap.opencl" ; } // ================================================================================================= // The main routine template StatusCode Xswap::DoSwap(const size_t n, const Buffer &x_buffer, const size_t x_offset, const size_t x_inc, const Buffer &y_buffer, const size_t y_offset, const size_t y_inc) { // Makes sure all dimensions are larger than zero if (n == 0) { return StatusCode::kInvalidDimension; } // Tests the vectors for validity auto status = TestVectorX(n, x_buffer, x_offset, x_inc, sizeof(T)); if (ErrorIn(status)) { return status; } status = TestVectorY(n, y_buffer, y_offset, y_inc, sizeof(T)); if (ErrorIn(status)) { return status; } // Determines whether or not the fast-version can be used bool use_fast_kernel = (x_offset == 0) && (x_inc == 1) && (y_offset == 0) && (y_inc == 1) && IsMultiple(n, db_["WGS"]*db_["WPT"]*db_["VW"]); // If possible, run the fast-version of the kernel auto kernel_name = (use_fast_kernel) ? "XswapFast" : "Xswap"; // Retrieves the Xswap kernel from the compiled binary try { auto& program = GetProgramFromCache(); auto kernel = Kernel(program, kernel_name); // Sets the kernel arguments if (use_fast_kernel) { kernel.SetArgument(0, static_cast(n)); kernel.SetArgument(1, x_buffer()); kernel.SetArgument(2, y_buffer()); } else { kernel.SetArgument(0, static_cast(n)); kernel.SetArgument(1, x_buffer()); kernel.SetArgument(2, static_cast(x_offset)); kernel.SetArgument(3, static_cast(x_inc)); kernel.SetArgument(4, y_buffer()); kernel.SetArgument(5, static_cast(y_offset)); kernel.SetArgument(6, static_cast(y_inc)); } // Launches the kernel if (use_fast_kernel) { auto global = std::vector{CeilDiv(n, db_["WPT"]*db_["VW"])}; auto local = std::vector{db_["WGS"]}; status = RunKernel(kernel, global, local); } else { auto n_ceiled = Ceil(n, db_["WGS"]*db_["WPT"]); auto global = std::vector{n_ceiled/db_["WPT"]}; auto local = std::vector{db_["WGS"]}; status = RunKernel(kernel, global, local); } if (ErrorIn(status)) { return status; } // Succesfully finished the computation return StatusCode::kSuccess; } catch (...) { return StatusCode::kInvalidKernel; } } // ================================================================================================= // Compiles the templated class template class Xswap; template class Xswap; template class Xswap; template class Xswap; // ================================================================================================= } // namespace clblast