// ================================================================================================= // 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 Xaxpy class (see the header for information about the class). // // ================================================================================================= #include "routines/level1/xaxpy.hpp" #include #include namespace clblast { // ================================================================================================= // Constructor: forwards to base class constructor template Xaxpy::Xaxpy(Queue &queue, EventPointer event, const std::string &name): Routine(queue, event, name, {"Xaxpy"}, PrecisionValue(), {}, { #include "../../kernels/level1/level1.opencl" #include "../../kernels/level1/xaxpy.opencl" }) { } // ================================================================================================= // The main routine template void Xaxpy::DoAxpy(const size_t n, const T alpha, 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) { throw BLASError(StatusCode::kInvalidDimension); } // Tests the vectors for validity TestVectorX(n, x_buffer, x_offset, x_inc); TestVectorY(n, y_buffer, y_offset, y_inc); // Determines whether or not the fast-version can be used const auto use_faster_kernel = (x_offset == 0) && (x_inc == 1) && (y_offset == 0) && (y_inc == 1) && IsMultiple(n, db_["WPT"]*db_["VW"]); const auto use_fastest_kernel = use_faster_kernel && IsMultiple(n, db_["WGS"]*db_["WPT"]*db_["VW"]); // If possible, run the fast-version of the kernel const auto kernel_name = (use_fastest_kernel) ? "XaxpyFastest" : (use_faster_kernel) ? "XaxpyFaster" : "Xaxpy"; // Retrieves the Xaxpy kernel from the compiled binary auto kernel = Kernel(program_, kernel_name); // Sets the kernel arguments if (use_faster_kernel || use_fastest_kernel) { kernel.SetArgument(0, static_cast(n)); kernel.SetArgument(1, GetRealArg(alpha)); kernel.SetArgument(2, x_buffer()); kernel.SetArgument(3, y_buffer()); } else { kernel.SetArgument(0, static_cast(n)); kernel.SetArgument(1, GetRealArg(alpha)); kernel.SetArgument(2, x_buffer()); kernel.SetArgument(3, static_cast(x_offset)); kernel.SetArgument(4, static_cast(x_inc)); kernel.SetArgument(5, y_buffer()); kernel.SetArgument(6, static_cast(y_offset)); kernel.SetArgument(7, static_cast(y_inc)); } // Launches the kernel if (use_fastest_kernel) { auto global = std::vector{CeilDiv(n, db_["WPT"]*db_["VW"])}; auto local = std::vector{db_["WGS"]}; RunKernel(kernel, queue_, device_, global, local, event_); } else if (use_faster_kernel) { auto global = std::vector{Ceil(CeilDiv(n, db_["WPT"]*db_["VW"]), db_["WGS"])}; auto local = std::vector{db_["WGS"]}; RunKernel(kernel, queue_, device_, global, local, event_); } else { const auto n_ceiled = Ceil(n, db_["WGS"]*db_["WPT"]); auto global = std::vector{n_ceiled/db_["WPT"]}; auto local = std::vector{db_["WGS"]}; RunKernel(kernel, queue_, device_, global, local, event_); } } // ================================================================================================= // Compiles the templated class template class Xaxpy; template class Xaxpy; template class Xaxpy; template class Xaxpy; template class Xaxpy; // ================================================================================================= } // namespace clblast