/********************************************************************** Copyright ©2012 Advanced Micro Devices, Inc. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ********************************************************************/ #ifndef LUDECOMPOSITION_HPP_ #define LUDECOMPOSITION_HPP_ #include #include #include #include #include #include #include #include #define KERNELFILE "LUDecomposition_Kernels.cl" /** * LUD * Class implements OpenCL LU Decomposition sample * Derived from SDKSample base class */ class LUD : public SDKSample { cl_uint seed; /**< Seed value for random number generation */ cl_double setupTime; /**< Time for setting up OpenCL */ cl_double totalKernelTime; /**< Time for kernel execution */ cl_double totalProgramTime; /**< Time for program execution */ cl_double referenceKernelTime; /**< Time for reference implementation */ cl_int effectiveDimension; /**< effectiveDimension(square matrix) of the input matrix */ cl_int actualDimension; /**< actual dimension (might not be in 2^n form) of input matrix */ cl_double *input; /**< Input array */ cl_double *matrixCPU; /**< Inplace Array for CPU for reference implementation */ cl_double *matrixGPU; /**< Inplace Array for GPU */ cl_int blockSize; /**< actual dimension / vector size */ cl_context context; /**< CL context */ cl_device_id *devices; /**< CL device list */ cl_mem inplaceBuffer; /**< CL memory buffer */ cl_mem inputBuffer2; /**< CL memory output Buffer */ cl_command_queue commandQueue; /**< CL command queue */ cl_program program; /**< CL program */ cl_kernel kernelLUD; /**< CL kernel LU Decomposition*/ cl_kernel kernelCombine; /**< CL Kerenl Combine */ cl_ulong localMemoryNeeded; bool useLDS; int iterations; /**< Number of iterations for kernel execution */ streamsdk::SDKDeviceInfo deviceInfo; /**< Structure to store device information*/ streamsdk::KernelWorkGroupInfo kernelInfo; /**< Structure to store kernel related info */ public: /** * Constructor * Initialize member variables * @param name name of sample (string) */ LUD(std::string name) : SDKSample(name) { seed = 123; input = NULL; matrixCPU = NULL; matrixGPU = NULL; devices = NULL; actualDimension = 16; effectiveDimension = 16; blockSize = effectiveDimension/ 4; setupTime = 0; totalKernelTime = 0; iterations = 1; } /** * Constructor * Initialize member variables * @param name name of sample (const char*) */ LUD(const char* name) : SDKSample(name) { seed = 123; input = NULL; matrixCPU = NULL; matrixGPU = NULL; devices = NULL; effectiveDimension = 16; actualDimension = 16; blockSize = effectiveDimension / 4; setupTime = 0; totalKernelTime = 0; iterations = 1; } /** * Allocate and initialize host memory array with random values * @return SDK_SUCCESS on success and SDK_FAILURE on failure */ int setupLUD(); /** * Override from SDKSample, Generate binary image of given kernel * and exit application * @return SDK_SUCCESS on success and SDK_FAILURE on failure */ int genBinaryImage(); /** * OpenCL related initialisations. * Set up Context, Device list, Command Queue, Memory buffers * Build CL kernel program executable * @return SDK_SUCCESS on success and SDK_FAILURE on failure */ int setupCL(); /** * Set values for kernels' arguments, enqueue calls to the kernels * on to the command queue, wait till end of kernel execution. * Get kernel start and end time if timing is enabled * @return SDK_SUCCESS on success and SDK_FAILURE on failure */ int runCLKernels(); /** * Reference CPU implementation of matrix transpose * @param output stores the transpose of the input * @param input input matrix * @param width width of the input matrix * @param height height of the array */ void LUDCPUReference( double *matrixCPU, const cl_uint effectiveDimension); /** * Override from SDKSample. Print sample stats. */ void printStats(); /** * Override from SDKSample. Initialize * command line parser, add custom options * @return SDK_SUCCESS on success and SDK_FAILURE on failure */ int initialize(); /** * Override from SDKSample, adjust width and height * of execution domain, perform all sample setup * @return SDK_SUCCESS on success and SDK_FAILURE on failure */ int setup(); /** * Override from SDKSample * Run OpenCL LU Decompose * @return SDK_SUCCESS on success and SDK_FAILURE on failure */ int run(); /** * Override from SDKSample * Cleanup memory allocations * @return SDK_SUCCESS on success and SDK_FAILURE on failure */ int cleanup(); /** * Override from SDKSample * Verify against reference implementation * @return SDK_SUCCESS on success and SDK_FAILURE on failure */ int verifyResults(); }; #endif