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authorCNugteren <web@cedricnugteren.nl>2015-08-22 17:11:20 +0200
committerCNugteren <web@cedricnugteren.nl>2015-08-22 17:11:20 +0200
commitff0c54c3865b45eff807315262e73d3f01cb19c3 (patch)
tree839e9def73fb068f988b07e1e879ecce48d884c8 /src/routines/level1
parent75517353d505de1d3979866060261a666aebfd36 (diff)
Added the XSWAP, XSCAL and XCOPY level-1 routines
Diffstat (limited to 'src/routines/level1')
-rw-r--r--src/routines/level1/xcopy.cc117
-rw-r--r--src/routines/level1/xscal.cc111
-rw-r--r--src/routines/level1/xswap.cc117
3 files changed, 345 insertions, 0 deletions
diff --git a/src/routines/level1/xcopy.cc b/src/routines/level1/xcopy.cc
new file mode 100644
index 00000000..52e029b9
--- /dev/null
+++ b/src/routines/level1/xcopy.cc
@@ -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 Xcopy class (see the header for information about the class).
+//
+// =================================================================================================
+
+#include "internal/routines/level1/xcopy.h"
+
+#include <string>
+#include <vector>
+
+namespace clblast {
+// =================================================================================================
+
+// Specific implementations to get the memory-type based on a template argument
+template <> const Precision Xcopy<float>::precision_ = Precision::kSingle;
+template <> const Precision Xcopy<double>::precision_ = Precision::kDouble;
+template <> const Precision Xcopy<float2>::precision_ = Precision::kComplexSingle;
+template <> const Precision Xcopy<double2>::precision_ = Precision::kComplexDouble;
+
+// =================================================================================================
+
+// Constructor: forwards to base class constructor
+template <typename T>
+Xcopy<T>::Xcopy(Queue &queue, Event &event):
+ Routine<T>(queue, event, "COPY", {"Xaxpy"}, precision_) {
+ source_string_ =
+ #include "../../kernels/level1/level1.opencl"
+ #include "../../kernels/level1/xcopy.opencl"
+ ;
+}
+
+// =================================================================================================
+
+// The main routine
+template <typename T>
+StatusCode Xcopy<T>::DoCopy(const size_t n,
+ const Buffer<T> &x_buffer, const size_t x_offset, const size_t x_inc,
+ const Buffer<T> &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) ? "XcopyFast" : "Xcopy";
+
+ // Retrieves the Xcopy 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<int>(n));
+ kernel.SetArgument(1, x_buffer());
+ kernel.SetArgument(2, y_buffer());
+ }
+ else {
+ kernel.SetArgument(0, static_cast<int>(n));
+ kernel.SetArgument(1, x_buffer());
+ kernel.SetArgument(2, static_cast<int>(x_offset));
+ kernel.SetArgument(3, static_cast<int>(x_inc));
+ kernel.SetArgument(4, y_buffer());
+ kernel.SetArgument(5, static_cast<int>(y_offset));
+ kernel.SetArgument(6, static_cast<int>(y_inc));
+ }
+
+ // Launches the kernel
+ if (use_fast_kernel) {
+ auto global = std::vector<size_t>{CeilDiv(n, db_["WPT"]*db_["VW"])};
+ auto local = std::vector<size_t>{db_["WGS"]};
+ status = RunKernel(kernel, global, local);
+ }
+ else {
+ auto n_ceiled = Ceil(n, db_["WGS"]*db_["WPT"]);
+ auto global = std::vector<size_t>{n_ceiled/db_["WPT"]};
+ auto local = std::vector<size_t>{db_["WGS"]};
+ status = RunKernel(kernel, global, local);
+ }
+ if (ErrorIn(status)) { return status; }
+
+ // Waits for all kernels to finish
+ queue_.Finish();
+
+ // Succesfully finished the computation
+ return StatusCode::kSuccess;
+ } catch (...) { return StatusCode::kInvalidKernel; }
+}
+
+// =================================================================================================
+
+// Compiles the templated class
+template class Xcopy<float>;
+template class Xcopy<double>;
+template class Xcopy<float2>;
+template class Xcopy<double2>;
+
+// =================================================================================================
+} // namespace clblast
diff --git a/src/routines/level1/xscal.cc b/src/routines/level1/xscal.cc
new file mode 100644
index 00000000..13e1080c
--- /dev/null
+++ b/src/routines/level1/xscal.cc
@@ -0,0 +1,111 @@
+
+// =================================================================================================
+// 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 Xscal class (see the header for information about the class).
+//
+// =================================================================================================
+
+#include "internal/routines/level1/xscal.h"
+
+#include <string>
+#include <vector>
+
+namespace clblast {
+// =================================================================================================
+
+// Specific implementations to get the memory-type based on a template argument
+template <> const Precision Xscal<float>::precision_ = Precision::kSingle;
+template <> const Precision Xscal<double>::precision_ = Precision::kDouble;
+template <> const Precision Xscal<float2>::precision_ = Precision::kComplexSingle;
+template <> const Precision Xscal<double2>::precision_ = Precision::kComplexDouble;
+
+// =================================================================================================
+
+// Constructor: forwards to base class constructor
+template <typename T>
+Xscal<T>::Xscal(Queue &queue, Event &event):
+ Routine<T>(queue, event, "SCAL", {"Xaxpy"}, precision_) {
+ source_string_ =
+ #include "../../kernels/level1/level1.opencl"
+ #include "../../kernels/level1/xscal.opencl"
+ ;
+}
+
+// =================================================================================================
+
+// The main routine
+template <typename T>
+StatusCode Xscal<T>::DoScal(const size_t n, const T alpha,
+ const Buffer<T> &x_buffer, const size_t x_offset, const size_t x_inc) {
+
+ // Makes sure all dimensions are larger than zero
+ if (n == 0) { return StatusCode::kInvalidDimension; }
+
+ // Tests the vector for validity
+ auto status = TestVectorX(n, x_buffer, x_offset, x_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) &&
+ IsMultiple(n, db_["WGS"]*db_["WPT"]*db_["VW"]);
+
+ // If possible, run the fast-version of the kernel
+ auto kernel_name = (use_fast_kernel) ? "XscalFast" : "Xscal";
+
+ // Retrieves the Xscal 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<int>(n));
+ kernel.SetArgument(1, alpha);
+ kernel.SetArgument(2, x_buffer());
+ }
+ else {
+ kernel.SetArgument(0, static_cast<int>(n));
+ kernel.SetArgument(1, alpha);
+ kernel.SetArgument(2, x_buffer());
+ kernel.SetArgument(3, static_cast<int>(x_offset));
+ kernel.SetArgument(4, static_cast<int>(x_inc));
+ }
+
+ // Launches the kernel
+ if (use_fast_kernel) {
+ auto global = std::vector<size_t>{CeilDiv(n, db_["WPT"]*db_["VW"])};
+ auto local = std::vector<size_t>{db_["WGS"]};
+ status = RunKernel(kernel, global, local);
+ }
+ else {
+ auto n_ceiled = Ceil(n, db_["WGS"]*db_["WPT"]);
+ auto global = std::vector<size_t>{n_ceiled/db_["WPT"]};
+ auto local = std::vector<size_t>{db_["WGS"]};
+ status = RunKernel(kernel, global, local);
+ }
+ if (ErrorIn(status)) { return status; }
+
+ // Waits for all kernels to finish
+ queue_.Finish();
+
+ // Succesfully finished the computation
+ return StatusCode::kSuccess;
+ } catch (...) { return StatusCode::kInvalidKernel; }
+}
+
+// =================================================================================================
+
+// Compiles the templated class
+template class Xscal<float>;
+template class Xscal<double>;
+template class Xscal<float2>;
+template class Xscal<double2>;
+
+// =================================================================================================
+} // namespace clblast
diff --git a/src/routines/level1/xswap.cc b/src/routines/level1/xswap.cc
new file mode 100644
index 00000000..b22b3bdb
--- /dev/null
+++ b/src/routines/level1/xswap.cc
@@ -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 Xswap class (see the header for information about the class).
+//
+// =================================================================================================
+
+#include "internal/routines/level1/xswap.h"
+
+#include <string>
+#include <vector>
+
+namespace clblast {
+// =================================================================================================
+
+// Specific implementations to get the memory-type based on a template argument
+template <> const Precision Xswap<float>::precision_ = Precision::kSingle;
+template <> const Precision Xswap<double>::precision_ = Precision::kDouble;
+template <> const Precision Xswap<float2>::precision_ = Precision::kComplexSingle;
+template <> const Precision Xswap<double2>::precision_ = Precision::kComplexDouble;
+
+// =================================================================================================
+
+// Constructor: forwards to base class constructor
+template <typename T>
+Xswap<T>::Xswap(Queue &queue, Event &event):
+ Routine<T>(queue, event, "SWAP", {"Xaxpy"}, precision_) {
+ source_string_ =
+ #include "../../kernels/level1/level1.opencl"
+ #include "../../kernels/level1/xswap.opencl"
+ ;
+}
+
+// =================================================================================================
+
+// The main routine
+template <typename T>
+StatusCode Xswap<T>::DoSwap(const size_t n,
+ const Buffer<T> &x_buffer, const size_t x_offset, const size_t x_inc,
+ const Buffer<T> &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<int>(n));
+ kernel.SetArgument(1, x_buffer());
+ kernel.SetArgument(2, y_buffer());
+ }
+ else {
+ kernel.SetArgument(0, static_cast<int>(n));
+ kernel.SetArgument(1, x_buffer());
+ kernel.SetArgument(2, static_cast<int>(x_offset));
+ kernel.SetArgument(3, static_cast<int>(x_inc));
+ kernel.SetArgument(4, y_buffer());
+ kernel.SetArgument(5, static_cast<int>(y_offset));
+ kernel.SetArgument(6, static_cast<int>(y_inc));
+ }
+
+ // Launches the kernel
+ if (use_fast_kernel) {
+ auto global = std::vector<size_t>{CeilDiv(n, db_["WPT"]*db_["VW"])};
+ auto local = std::vector<size_t>{db_["WGS"]};
+ status = RunKernel(kernel, global, local);
+ }
+ else {
+ auto n_ceiled = Ceil(n, db_["WGS"]*db_["WPT"]);
+ auto global = std::vector<size_t>{n_ceiled/db_["WPT"]};
+ auto local = std::vector<size_t>{db_["WGS"]};
+ status = RunKernel(kernel, global, local);
+ }
+ if (ErrorIn(status)) { return status; }
+
+ // Waits for all kernels to finish
+ queue_.Finish();
+
+ // Succesfully finished the computation
+ return StatusCode::kSuccess;
+ } catch (...) { return StatusCode::kInvalidKernel; }
+}
+
+// =================================================================================================
+
+// Compiles the templated class
+template class Xswap<float>;
+template class Xswap<double>;
+template class Xswap<float2>;
+template class Xswap<double2>;
+
+// =================================================================================================
+} // namespace clblast