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//
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// Copyright (c) 2008 Advanced Micro Devices, Inc. All rights reserved.
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//
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#ifndef NDRANGE_HPP_
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#define NDRANGE_HPP_
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#include "top.hpp"
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#include <valarray>
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#ifdef DEBUG
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# include <cstdio>
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#endif // DEBUG
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namespace amd {
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/*! \addtogroup Runtime
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* @{
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*
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* \addtogroup Program Programs and Kernel functions
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* @{
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*/
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//! An N-dimensions index space.
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class NDRange : public EmbeddedObject
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{
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private:
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const size_t dimensions_ : 2; //!< Number of dimensions [0-3]
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size_t data_[3]; //!< indexes array
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private:
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//! Construct a new index space for an array of elements (no-copy)
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NDRange(size_t dimensions, size_t* elements)
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: dimensions_(dimensions)
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{
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for (uint i = 0; i < dimensions_; ++i) {
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data_[i] = elements[i];
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}
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}
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public:
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//! Construct a new index space of the given dimensions.
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explicit NDRange(size_t dimensions);
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//! Copy constructor.
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NDRange(const NDRange& space);
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//! Destroy the index space.
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~NDRange();
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//! Copy operator
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inline NDRange& operator = (const NDRange& space);
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//! Make all elements of this space equal to x.
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NDRange& operator = (size_t x);
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//! Return the number of dimensions.
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size_t dimensions() const { return dimensions_; }
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//! Return the element at the given \a index.
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size_t& operator [] (size_t index)
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{
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assert(index < dimensions_ && "index is out of bounds");
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return data_[index];
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}
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//! Return the element at the given \a index.
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size_t operator [] (size_t index) const
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{
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assert(index < dimensions_ && "index is out of bounds");
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return data_[index];
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}
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//! Return the sum of this index space elements.
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inline size_t sum() const;
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//! Return the product of this index space elements (size)
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inline size_t product() const;
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// Binary operators:
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inline friend NDRange operator + (const NDRange& x, const NDRange& y);
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inline friend NDRange operator - (const NDRange& x, const NDRange& y);
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inline friend NDRange operator * (const NDRange& x, const NDRange& y);
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inline friend NDRange operator / (const NDRange& x, const NDRange& y);
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inline friend NDRange operator % (const NDRange& x, const NDRange& y);
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//! Return true if this index space is identical to \a x.
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bool operator == (const NDRange& x) const;
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//! Return true if this index space and \a x are different.
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bool operator != (const NDRange& x) const { return !(*this == x); }
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//! Return true if all elements are equal to \a x.
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bool operator == (size_t x) const;
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//! Return true if one element of this space is not equal to \a x.
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bool operator != (size_t x) const { return !(*this == x); }
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#ifdef DEBUG
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//! Print this index space on the given stream.
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void printOn(FILE* file) const;
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#endif // DEBUG
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};
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//! A container for the local and global worksizes.
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class NDRangeContainer : public HeapObject
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{
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private:
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const size_t dimensions_; //!< Number of dimensions.
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NDRange offset_; //!< Global work-item offset.
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NDRange global_; //!< Total number of work-items in N-dims
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NDRange local_; //!< Number of work-items in N-dims in a workgroup.
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public:
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/*! \brief Construct a new nd-range container with the given local
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* and global worksizes in \a nDimensions dimensions.
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*/
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NDRangeContainer(
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size_t dimensions,
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const size_t* globalWorkOffset,
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const size_t* globalWorkSize,
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const size_t* localWorkSize
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) : dimensions_(dimensions),
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offset_(dimensions), global_(dimensions), local_(dimensions)
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{
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for (size_t i = 0; i < dimensions; ++i) {
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offset_[i] = globalWorkOffset != NULL ? globalWorkOffset[i] : 0;
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global_[i] = globalWorkSize[i];
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local_[i] = localWorkSize[i];
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}
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}
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//! Return the number of dimensions.
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size_t dimensions() const { return dimensions_; }
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//! Return the global workoffset.
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const NDRange& offset() const { return offset_; }
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NDRange& offset() { return offset_; }
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//! Return the global worksize.
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const NDRange& global() const { return global_; }
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NDRange& global() { return global_; }
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//! Return the local worksize.
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const NDRange& local() const { return local_; }
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NDRange& local() { return local_; }
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};
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/*! @}\
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* @}
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*/
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inline size_t
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NDRange::sum() const
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{
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size_t result = data_[0];
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for (size_t i = 1; i < dimensions_; ++i) {
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result += data_[i];
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}
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return result;
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}
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inline size_t
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NDRange::product() const
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{
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size_t result = data_[0];
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for (size_t i = 1; i < dimensions_; ++i) {
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result *= data_[i];
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}
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return result;
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}
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// This function is in this header file for performance improvements:
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inline NDRange&
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NDRange::operator = (const NDRange& space)
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{
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assert(dimensions_ == space.dimensions_ && "dimensions mismatch");
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for (size_t i = 0; i < sizeof(data_)/sizeof(*data_); ++i) {
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data_[i] = space.data_[i];
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}
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return *this;
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}
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#define DEFINE_NDRANGE_BINARY_OP(op) \
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inline NDRange \
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operator op (const NDRange& x, const NDRange& y) \
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{ \
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assert(x.dimensions_ == y.dimensions_ && "dimensions mismatch"); \
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\
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size_t dimensions = x.dimensions_; \
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size_t result[3] = {0}; \
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for (size_t i = 0; i < dimensions; ++i) { \
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result[i] = x.data_[i] op y.data_[i]; \
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} \
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\
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return NDRange(dimensions, &result[0]); \
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}
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DEFINE_NDRANGE_BINARY_OP(+);
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DEFINE_NDRANGE_BINARY_OP(-);
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DEFINE_NDRANGE_BINARY_OP(*);
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DEFINE_NDRANGE_BINARY_OP(/);
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DEFINE_NDRANGE_BINARY_OP(%);
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#undef DEFINE_NDRANGE_BINARY_OP
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} // namespace amd
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#endif /*NDRANGE_HPP_*/
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