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Diffstat (limited to 'src/routines/level2/xher.cpp')
-rw-r--r-- | src/routines/level2/xher.cpp | 117 |
1 files changed, 117 insertions, 0 deletions
diff --git a/src/routines/level2/xher.cpp b/src/routines/level2/xher.cpp new file mode 100644 index 00000000..ed8ba9e9 --- /dev/null +++ b/src/routines/level2/xher.cpp @@ -0,0 +1,117 @@ + +// ================================================================================================= +// 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 implements the Xher class (see the header for information about the class). +// +// ================================================================================================= + +#include "routines/level2/xher.hpp" + +#include <string> + +namespace clblast { +// ================================================================================================= + +// Constructor: forwards to base class constructor +template <typename T, typename U> +Xher<T,U>::Xher(Queue &queue, EventPointer event, const std::string &name): + Routine(queue, event, name, {"Xger"}, PrecisionValue<T>()) { + source_string_ = + #include "../../kernels/level2/level2.opencl" + #include "../../kernels/level2/xher.opencl" + ; +} + +// ================================================================================================= + +// Specializations to compute alpha of type 'T' +template <> float2 Xher<float2,float>::GetAlpha(const float alpha) { return float2{alpha, 0.0f}; } +template <> double2 Xher<double2,double>::GetAlpha(const double alpha) { return double2{alpha, 0.0}; } +template <> float Xher<float,float>::GetAlpha(const float alpha) { return alpha; } +template <> double Xher<double,double>::GetAlpha(const double alpha) { return alpha; } +template <> half Xher<half,half>::GetAlpha(const half alpha) { return alpha; } + +// ================================================================================================= + +// The main routine +template <typename T, typename U> +StatusCode Xher<T,U>::DoHer(const Layout layout, const Triangle triangle, + const size_t n, + const U alpha, + const Buffer<T> &x_buffer, const size_t x_offset, const size_t x_inc, + const Buffer<T> &a_buffer, const size_t a_offset, const size_t a_ld, + const bool packed) { + + // Makes sure the dimensions are larger than zero + if (n == 0) { return StatusCode::kInvalidDimension; } + + // The data is either in the upper or lower triangle + const auto is_upper = ((triangle == Triangle::kUpper && layout != Layout::kRowMajor) || + (triangle == Triangle::kLower && layout == Layout::kRowMajor)); + const auto is_rowmajor = (layout == Layout::kRowMajor); + + // Tests the matrix and the vectors for validity + auto status = StatusCode::kSuccess; + if (packed) { status = TestMatrixAP(n, a_buffer, a_offset); } + else { status = TestMatrixA(n, n, a_buffer, a_offset, a_ld); } + if (ErrorIn(status)) { return status; } + status = TestVectorX(n, x_buffer, x_offset, x_inc); + if (ErrorIn(status)) { return status; } + + // If alpha is zero an update is not required + if (alpha == U{0}) { return StatusCode::kSuccess; } + + // Creates a matching version of alpha + const auto matching_alpha = GetAlpha(alpha); + + // Upload the scalar argument as a constant buffer to the device (needed for half-precision) + auto alpha_buffer = Buffer<T>(context_, 1); + alpha_buffer.Write(queue_, 1, &matching_alpha); + + // Retrieves the kernel from the compiled binary + try { + const auto program = GetProgramFromCache(context_, PrecisionValue<T>(), routine_name_); + auto kernel = Kernel(program, "Xher"); + + // Sets the kernel arguments + kernel.SetArgument(0, static_cast<int>(n)); + kernel.SetArgument(1, alpha_buffer()); + kernel.SetArgument(2, x_buffer()); + kernel.SetArgument(3, static_cast<int>(x_offset)); + kernel.SetArgument(4, static_cast<int>(x_inc)); + kernel.SetArgument(5, a_buffer()); + kernel.SetArgument(6, static_cast<int>(a_offset)); + kernel.SetArgument(7, static_cast<int>(a_ld)); + kernel.SetArgument(8, static_cast<int>(is_upper)); + kernel.SetArgument(9, static_cast<int>(is_rowmajor)); + + // Launches the kernel + auto global_one = Ceil(CeilDiv(n, db_["WPT"]), db_["WGS1"]); + auto global_two = Ceil(CeilDiv(n, db_["WPT"]), db_["WGS2"]); + auto global = std::vector<size_t>{global_one, global_two}; + auto local = std::vector<size_t>{db_["WGS1"], db_["WGS2"]}; + status = RunKernel(kernel, queue_, device_, global, local, event_); + if (ErrorIn(status)) { return status; } + + // Succesfully finished the computation + return StatusCode::kSuccess; + } catch (...) { return StatusCode::kInvalidKernel; } +} + +// ================================================================================================= + +// Compiles the templated class +template class Xher<half, half>; +template class Xher<float, float>; +template class Xher<double, double>; +template class Xher<float2, float>; +template class Xher<double2, double>; + +// ================================================================================================= +} // namespace clblast |