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authorCedric Nugteren <web@cedricnugteren.nl>2017-03-10 21:15:29 +0100
committerGitHub <noreply@github.com>2017-03-10 21:15:29 +0100
commitde3500ed18ddb39261ffa270f460909571276462 (patch)
treeb515368fcd1e39afb5805f67796b082ccc8066f9 /src/routines/levelx/xaxpybatched.cpp
parent37228c90988509acef9e8a892a752300b7645210 (diff)
parent3846f44eaf389ee24a698d4947e5c16bd14c3d0e (diff)
Merge pull request #141 from CNugteren/axpy_batched
Added the batched version of the AXPY routine
Diffstat (limited to 'src/routines/levelx/xaxpybatched.cpp')
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diff --git a/src/routines/levelx/xaxpybatched.cpp b/src/routines/levelx/xaxpybatched.cpp
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+
+// =================================================================================================
+// 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 XaxpyBatched class (see the header for information about the class).
+//
+// =================================================================================================
+
+#include "routines/levelx/xaxpybatched.hpp"
+
+#include <string>
+#include <vector>
+
+namespace clblast {
+// =================================================================================================
+
+// Constructor: forwards to base class constructor
+template <typename T>
+XaxpyBatched<T>::XaxpyBatched(Queue &queue, EventPointer event, const std::string &name):
+ Routine(queue, event, name, {"Xaxpy"}, PrecisionValue<T>(), {}, {
+ #include "../../kernels/level1/level1.opencl"
+ #include "../../kernels/level1/xaxpy.opencl"
+ }) {
+}
+
+// =================================================================================================
+
+// The main routine
+template <typename T>
+void XaxpyBatched<T>::DoAxpyBatched(const size_t n, const std::vector<T> &alphas,
+ const Buffer<T> &x_buffer, const std::vector<size_t> &x_offsets, const size_t x_inc,
+ const Buffer<T> &y_buffer, const std::vector<size_t> &y_offsets, const size_t y_inc,
+ const size_t batch_count) {
+
+ // Tests for a valid batch count
+ if ((batch_count < 1) || (alphas.size() != batch_count) ||
+ (x_offsets.size() != batch_count) || (y_offsets.size() != batch_count)) {
+ throw BLASError(StatusCode::kInvalidBatchCount);
+ }
+
+ // Makes sure all dimensions are larger than zero
+ if (n == 0) { throw BLASError(StatusCode::kInvalidDimension); }
+
+ // Tests the vectors for validity
+ for (auto batch = size_t{0}; batch < batch_count; ++batch) {
+ TestVectorX(n, x_buffer, x_offsets[batch], x_inc);
+ TestVectorY(n, y_buffer, y_offsets[batch], y_inc);
+ }
+
+ // Upload the arguments to the device
+ std::vector<int> x_offsets_int(x_offsets.begin(), x_offsets.end());
+ std::vector<int> y_offsets_int(y_offsets.begin(), y_offsets.end());
+ auto x_offsets_device = Buffer<int>(context_, BufferAccess::kReadOnly, batch_count);
+ auto y_offsets_device = Buffer<int>(context_, BufferAccess::kReadOnly, batch_count);
+ auto alphas_device = Buffer<T>(context_, BufferAccess::kReadOnly, batch_count);
+ x_offsets_device.Write(queue_, batch_count, x_offsets_int);
+ y_offsets_device.Write(queue_, batch_count, y_offsets_int);
+ alphas_device.Write(queue_, batch_count, alphas);
+
+ // Retrieves the Xaxpy kernel from the compiled binary
+ auto kernel = Kernel(program_, "XaxpyBatched");
+
+ // Sets the kernel arguments
+ kernel.SetArgument(0, static_cast<int>(n));
+ kernel.SetArgument(1, alphas_device());
+ kernel.SetArgument(2, x_buffer());
+ kernel.SetArgument(3, x_offsets_device());
+ kernel.SetArgument(4, static_cast<int>(x_inc));
+ kernel.SetArgument(5, y_buffer());
+ kernel.SetArgument(6, y_offsets_device());
+ kernel.SetArgument(7, static_cast<int>(y_inc));
+
+ // Launches the kernel
+ auto n_ceiled = Ceil(n, db_["WGS"]*db_["WPT"]);
+ auto global = std::vector<size_t>{n_ceiled/db_["WPT"], batch_count};
+ auto local = std::vector<size_t>{db_["WGS"], 1};
+ RunKernel(kernel, queue_, device_, global, local, event_);
+}
+
+// =================================================================================================
+
+// Compiles the templated class
+template class XaxpyBatched<half>;
+template class XaxpyBatched<float>;
+template class XaxpyBatched<double>;
+template class XaxpyBatched<float2>;
+template class XaxpyBatched<double2>;
+
+// =================================================================================================
+} // namespace clblast