Map Kernels

Collaboration diagram for Map Kernels:

Functions
static std::string	skepu::UnaryMapKernel_CL ("__kernel void UnaryMapKernel_KERNELNAME(__global TYPE* input, __global TYPE* output, size_t numElements, CONST_TYPE const1)\n""{\n"" int i = get_global_id(0);\n"" size_t gridSize = get_local_size(0)*get_num_groups(0);\n"" while(i < numElements)\n"" {\n"" output[i] = FUNCTIONNAME(input[i], const1);\n"" i += gridSize;\n"" }\n""}\n")
static std::string	skepu::BinaryMapKernel_CL ("__kernel void BinaryMapKernel_KERNELNAME(__global TYPE* input1, __global TYPE* input2, __global TYPE* output, size_t n, CONST_TYPE const1)\n""{\n"" int i = get_global_id(0);\n"" size_t gridSize = get_local_size(0)*get_num_groups(0);\n"" while(i < n)\n"" {\n"" output[i] = FUNCTIONNAME(input1[i], input2[i], const1);\n"" i += gridSize;\n"" }\n""}\n")
static std::string	skepu::TrinaryMapKernel_CL ("__kernel void TrinaryMapKernel_KERNELNAME(__global TYPE* input1, __global TYPE* input2, __global TYPE* input3, __global TYPE* output, size_t n, CONST_TYPE const1)\n""{\n"" int i = get_global_id(0);\n"" size_t gridSize = get_local_size(0)*get_num_groups(0);\n"" while(i < n)\n"" {\n"" output[i] = FUNCTIONNAME(input1[i], input2[i], input3[i], const1);\n"" i += gridSize;\n"" }\n""}\n")
template<typename T , typename UnaryFunc >
__global__ void	skepu::MapKernelUnary_CU (UnaryFunc mapFunc, T *input, T *output, size_t n)
template<typename T , typename BinaryFunc >
__global__ void	skepu::MapKernelBinary_CU (BinaryFunc mapFunc, T *input1, T *input2, T *output, size_t n)
template<typename T , typename TrinaryFunc >
__global__ void	skepu::MapKernelTrinary_CU (TrinaryFunc mapFunc, T *input1, T *input2, T *input3, T *output, size_t n)

Detailed Description

Definitions of CUDA and OpenCL kernels for the Map skeleton.

Function Documentation

static std::string skepu::BinaryMapKernel_CL ( "__kernel void BinaryMapKernel_KERNELNAME(__global TYPE* input1, __global TYPE* input2, __global TYPE* output, size_t n, CONST_TYPE const1)\n""{\n"" int i = get_global_id(0);\n"" size_t gridSize = get_local_size(0)*get_num_groups(0);\n"" while(i < n)\n"" {\n"" output[i] = FUNCTIONNAME(input1[i], input2[i], const1);\n"" i += gridSize;\n"" }\n""}\n"  )

static

OpenCL Map kernel for binary user functions.

template<typename T , typename BinaryFunc >

__global__ void skepu::MapKernelBinary_CU	(	BinaryFunc	mapFunc,
		T *	input1,
		T *	input2,
		T *	output,
		size_t	n
	)

CUDA Map kernel for binary user functions.

Referenced by skepu::Map< MapFunc >::CU().

template<typename T , typename TrinaryFunc >

__global__ void skepu::MapKernelTrinary_CU	(	TrinaryFunc	mapFunc,
		T *	input1,
		T *	input2,
		T *	input3,
		T *	output,
		size_t	n
	)

CUDA Map kernel for trinary user functions.

Referenced by skepu::Map< MapFunc >::CU().

template<typename T , typename UnaryFunc >

__global__ void skepu::MapKernelUnary_CU	(	UnaryFunc	mapFunc,
		T *	input,
		T *	output,
		size_t	n
	)

CUDA Map kernel for unary user functions.

Referenced by skepu::Map< MapFunc >::CU(), and skepu::Map< MapFunc >::mapMultiStream_CU().

static std::string skepu::TrinaryMapKernel_CL ( "__kernel void TrinaryMapKernel_KERNELNAME(__global TYPE* input1, __global TYPE* input2, __global TYPE* input3, __global TYPE* output, size_t n, CONST_TYPE const1)\n""{\n"" int i = get_global_id(0);\n"" size_t gridSize = get_local_size(0)*get_num_groups(0);\n"" while(i < n)\n"" {\n"" output[i] = FUNCTIONNAME(input1[i], input2[i], input3[i], const1);\n"" i += gridSize;\n"" }\n""}\n"  )

static

OpenCL Map kernel for trinary user functions.

static std::string skepu::UnaryMapKernel_CL ( "__kernel void UnaryMapKernel_KERNELNAME(__global TYPE* input, __global TYPE* output, size_t numElements, CONST_TYPE const1)\n""{\n"" int i = get_global_id(0);\n"" size_t gridSize = get_local_size(0)*get_num_groups(0);\n"" while(i < numElements)\n"" {\n"" output[i] = FUNCTIONNAME(input[i], const1);\n"" i += gridSize;\n"" }\n""}\n"  )

static

OpenCL Map kernel for unary user functions.