diff options
author | CNugteren <web@cedricnugteren.nl> | 2015-07-02 07:16:04 +0200 |
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committer | CNugteren <web@cedricnugteren.nl> | 2015-07-02 07:16:04 +0200 |
commit | d9ea0c47c65ff41da2d213cce8b0ef434e817ec2 (patch) | |
tree | 38ca31239e232f53a07a62797b4c06f106d8e8c1 /src | |
parent | 500416aa38aa2bd03fa24a0d57ac9a2e00cb4c41 (diff) |
Added the TRMM routine, tester, and client
Diffstat (limited to 'src')
-rw-r--r-- | src/clblast.cc | 4 | ||||
-rw-r--r-- | src/kernels/pad.opencl | 97 | ||||
-rw-r--r-- | src/routines/xtrmm.cc | 135 |
3 files changed, 221 insertions, 15 deletions
diff --git a/src/clblast.cc b/src/clblast.cc index e3ce4d39..299d0a18 100644 --- a/src/clblast.cc +++ b/src/clblast.cc @@ -28,6 +28,7 @@ #include "internal/routines/xsymm.h" #include "internal/routines/xsyrk.h" #include "internal/routines/xsyr2k.h" +#include "internal/routines/xtrmm.h" namespace clblast { // ================================================================================================= @@ -372,7 +373,6 @@ StatusCode Trmm(const Layout layout, const Side side, const Triangle triangle, cl_command_queue* queue, cl_event* event) { auto queue_cpp = CommandQueue(*queue); auto event_cpp = Event(*event); - /* auto routine = Xtrmm<T>(queue_cpp, event_cpp); // Loads the kernel source-code as an include (C++11 raw string literal) @@ -394,8 +394,6 @@ StatusCode Trmm(const Layout layout, const Side side, const Triangle triangle, return routine.DoTrmm(layout, side, triangle, a_transpose, diagonal, m, n, alpha, Buffer(a_buffer), a_offset, a_ld, Buffer(b_buffer), b_offset, b_ld); - */ - return StatusCode::kSuccess; } template StatusCode Trmm<float>(const Layout, const Side, const Triangle, const Transpose, const Diagonal, diff --git a/src/kernels/pad.opencl b/src/kernels/pad.opencl index cce0c746..8294fab7 100644 --- a/src/kernels/pad.opencl +++ b/src/kernels/pad.opencl @@ -135,15 +135,15 @@ __kernel void SymmLowerToSquared(const int src_dim, if (id_two < dest_dim && id_one < dest_dim) { // Loads data from the lower-symmetric matrix - real value; - SetToZero(value); + real result; + SetToZero(result); if (id_two < src_dim && id_one < src_dim) { - if (id_two <= id_one) { value = src[id_two*src_ld + id_one + src_offset]; } - else { value = src[id_one*src_ld + id_two + src_offset]; } + if (id_two <= id_one) { result = src[id_two*src_ld + id_one + src_offset]; } + else { result = src[id_one*src_ld + id_two + src_offset]; } } - // Stores the value in the destination matrix - dest[id_two*dest_ld + id_one + dest_offset] = value; + // Stores the result in the destination matrix + dest[id_two*dest_ld + id_one + dest_offset] = result; } } } @@ -168,15 +168,88 @@ __kernel void SymmUpperToSquared(const int src_dim, if (id_two < dest_dim && id_one < dest_dim) { // Loads data from the upper-symmetric matrix - real value; - SetToZero(value); + real result; + SetToZero(result); if (id_two < src_dim && id_one < src_dim) { - if (id_one <= id_two) { value = src[id_two*src_ld + id_one + src_offset]; } - else { value = src[id_one*src_ld + id_two + src_offset]; } + if (id_one <= id_two) { result = src[id_two*src_ld + id_one + src_offset]; } + else { result = src[id_one*src_ld + id_two + src_offset]; } } - // Stores the value in the destination matrix - dest[id_two*dest_ld + id_one + dest_offset] = value; + // Stores the result in the destination matrix + dest[id_two*dest_ld + id_one + dest_offset] = result; + } + } + } +} + +// ================================================================================================= + +// Kernel to populate a squared triangular matrix, given that the triangle which holds the data is +// stored as the lower-triangle of the input matrix. This uses the padding kernel's parameters. +__attribute__((reqd_work_group_size(PAD_DIMX, PAD_DIMY, 1))) +__kernel void TrmmLowerToSquared(const int src_dim, + const int src_ld, const int src_offset, + __global const real* restrict src, + const int dest_dim, + const int dest_ld, const int dest_offset, + __global real* dest, + const int unit_diagonal) { + + // Loops over the work per thread in both dimensions + #pragma unroll + for (int w_one=0; w_one<PAD_WPTX; ++w_one) { + const int id_one = (get_group_id(0)*PAD_WPTX + w_one) * PAD_DIMX + get_local_id(0); + #pragma unroll + for (int w_two=0; w_two<PAD_WPTY; ++w_two) { + const int id_two = (get_group_id(1)*PAD_WPTY + w_two) * PAD_DIMY + get_local_id(1); + if (id_two < dest_dim && id_one < dest_dim) { + + // Loads data from the lower-triangular matrix + real result; + SetToZero(result); + if (id_two < src_dim && id_one < src_dim) { + if (id_two <= id_one) { result = src[id_two*src_ld + id_one + src_offset]; } + if (id_two == id_one && unit_diagonal) { SetToOne(result); } + // Else: result is zero + } + + // Stores the result in the destination matrix + dest[id_two*dest_ld + id_one + dest_offset] = result; + } + } + } +} + +// Same as above, but now the matrix' data is stored in the upper-triangle +__attribute__((reqd_work_group_size(PAD_DIMX, PAD_DIMY, 1))) +__kernel void TrmmUpperToSquared(const int src_dim, + const int src_ld, const int src_offset, + __global const real* restrict src, + const int dest_dim, + const int dest_ld, const int dest_offset, + __global real* dest, + const int unit_diagonal) { + + // Loops over the work per thread in both dimensions + #pragma unroll + for (int w_one=0; w_one<PAD_WPTX; ++w_one) { + const int id_one = (get_group_id(0)*PAD_WPTX + w_one) * PAD_DIMX + get_local_id(0); + #pragma unroll + for (int w_two=0; w_two<PAD_WPTY; ++w_two) { + const int id_two = (get_group_id(1)*PAD_WPTY + w_two) * PAD_DIMY + get_local_id(1); + if (id_two < dest_dim && id_one < dest_dim) { + + // Loads data from the upper-triangular matrix + real result; + SetToZero(result); + if (id_two < src_dim && id_one < src_dim) { + if (id_one <= id_two) { result = src[id_two*src_ld + id_one + src_offset]; } + if (id_one == id_two && unit_diagonal) { SetToOne(result); } + // Else: result is zero + } + + // Stores the result in the destination matrix + dest[id_two*dest_ld + id_one + dest_offset] = result; } } } diff --git a/src/routines/xtrmm.cc b/src/routines/xtrmm.cc new file mode 100644 index 00000000..543df844 --- /dev/null +++ b/src/routines/xtrmm.cc @@ -0,0 +1,135 @@ + +// ================================================================================================= +// 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 Xtrmm class (see the header for information about the class). +// +// ================================================================================================= + +#include "internal/routines/xtrmm.h" + +#include <string> +#include <vector> + +namespace clblast { +// ================================================================================================= + +// Constructor: forwards to base class constructor +template <typename T> +Xtrmm<T>::Xtrmm(CommandQueue &queue, Event &event): + Xgemm<T>(queue, event) { +} + +// ================================================================================================= + +// The main routine +template <typename T> +StatusCode Xtrmm<T>::DoTrmm(const Layout layout, const Side side, const Triangle triangle, + const Transpose a_transpose, const Diagonal diagonal, + const size_t m, const size_t n, + const T alpha, + const Buffer &a_buffer, const size_t a_offset, const size_t a_ld, + const Buffer &b_buffer, const size_t b_offset, const size_t b_ld) { + + // Makes sure all dimensions are larger than zero + if ((m == 0) || (n == 0)) { return StatusCode::kInvalidDimension; } + + // Computes the k dimension. This is based on whether or not matrix is A (on the left) + // or B (on the right) in the Xgemm routine. + auto k = (side == Side::kLeft) ? m : n; + + // Checks for validity of the triangular A matrix + auto status = TestMatrixA(k, k, a_buffer, a_offset, a_ld, sizeof(T)); + if (ErrorIn(status)) { return status; } + + // Determines which kernel to run based on the layout (the Xgemm kernel assumes column-major as + // default) and on whether we are dealing with an upper or lower triangle of the triangular matrix + bool is_upper = ((triangle == Triangle::kUpper && layout != Layout::kRowMajor) || + (triangle == Triangle::kLower && layout == Layout::kRowMajor)); + auto kernel_name = (is_upper) ? "TrmmUpperToSquared" : "TrmmLowerToSquared"; + + // Determines whether or not the triangular matrix is unit-diagonal + auto unit_diagonal = (diagonal == Diagonal::kUnit) ? true : false; + + // Temporary buffer for a copy of the triangular matrix + try { + auto temp_triangular = Buffer(context_, CL_MEM_READ_WRITE, k*k*sizeof(T)); + + // Creates a general matrix from the triangular matrix to be able to run the regular Xgemm + // routine afterwards + try { + auto& program = GetProgramFromCache(); + auto kernel = Kernel(program, kernel_name); + + // Sets the arguments for the triangular-to-squared kernel + kernel.SetArgument(0, static_cast<int>(k)); + kernel.SetArgument(1, static_cast<int>(a_ld)); + kernel.SetArgument(2, static_cast<int>(a_offset)); + kernel.SetArgument(3, a_buffer()); + kernel.SetArgument(4, static_cast<int>(k)); + kernel.SetArgument(5, static_cast<int>(k)); + kernel.SetArgument(6, static_cast<int>(0)); + kernel.SetArgument(7, temp_triangular()); + kernel.SetArgument(8, static_cast<int>(unit_diagonal)); + + // Uses the common padding kernel's thread configuration. This is allowed, since the + // triangular-to-squared kernel uses the same parameters. + auto global = std::vector<size_t>{Ceil(CeilDiv(k, db_["PAD_WPTX"]), db_["PAD_DIMX"]), + Ceil(CeilDiv(k, db_["PAD_WPTY"]), db_["PAD_DIMY"])}; + auto local = std::vector<size_t>{db_["PAD_DIMX"], db_["PAD_DIMY"]}; + status = RunKernel(kernel, global, local); + if (ErrorIn(status)) { return status; } + + // Runs the regular Xgemm code with either "B := alpha*A*B" or ... + if (side == Side::kLeft) { + status = DoGemm(layout, a_transpose, Transpose::kNo, + m, n, k, + alpha, + temp_triangular, 0, k, + b_buffer, b_offset, b_ld, + static_cast<T>(0.0), + b_buffer, b_offset, b_ld); + } + + // ... with "B := alpha*B*A". Note that A and B are now reversed. + else { + status = DoGemm(layout, Transpose::kNo, a_transpose, + m, n, k, + alpha, + b_buffer, b_offset, b_ld, + temp_triangular, 0, k, + static_cast<T>(0.0), + b_buffer, b_offset, b_ld); + + // A and B are now reversed, so also reverse the error codes returned from the Xgemm routine + switch(status) { + case StatusCode::kInvalidMatrixA: status = StatusCode::kInvalidMatrixB; break; + case StatusCode::kInvalidMatrixB: status = StatusCode::kInvalidMatrixA; break; + case StatusCode::kInvalidLeadDimA: status = StatusCode::kInvalidLeadDimB; break; + case StatusCode::kInvalidLeadDimB: status = StatusCode::kInvalidLeadDimA; break; + case StatusCode::kInsufficientMemoryA: status = StatusCode::kInsufficientMemoryB; break; + case StatusCode::kInsufficientMemoryB: status = StatusCode::kInsufficientMemoryA; break; + } + } + + // Return the status of the Xgemm routine + return status; + } catch (...) { return StatusCode::kInvalidKernel; } + } catch (...) { return StatusCode::kTempBufferAllocFailure; } +} + +// ================================================================================================= + +// Compiles the templated class +template class Xtrmm<float>; +template class Xtrmm<double>; +template class Xtrmm<float2>; +template class Xtrmm<double2>; + +// ================================================================================================= +} // namespace clblast |