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ucl_h_vec.h
0f6d21acda7blammm-master-deprecated

ucl_h_vec.h
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			/***************************************************************************
			ucl_h_vec.h
			-------------------
			W. Michael Brown

			Vector Container on Host

			__________________________________________________________________________
			This file is part of the Geryon Unified Coprocessor Library (UCL)
			__________________________________________________________________________

			begin : Thu Jun 25 2009
			copyright : (C) 2009 by W. Michael Brown
			email : brownw@ornl.gov
			***************************************************************************/

			/* -----------------------------------------------------------------------
			Copyright (2009) Sandia Corporation. Under the terms of Contract
			DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains
			certain rights in this software. This software is distributed under
			the Simplified BSD License.
			----------------------------------------------------------------------- */

			// Only allow this file to be included by CUDA and OpenCL specific headers
			#ifdef _UCL_MAT_ALLOW

			/// Row Vector on Host with options for pinning (page locked)
			template <class numtyp>
			class UCL_H_Vec : public UCL_BaseMat {
			public:
			// Traits for copying data
			// MEM_TYPE is 0 for device, 1 for host, and 2 for image
			enum traits {
			DATA_TYPE = _UCL_DATA_ID<numtyp>::id,
			MEM_TYPE = 1,
			PADDED = 0,
			ROW_MAJOR = 1,
			VECTOR = 1
			};
			typedef numtyp data_type;

			UCL_H_Vec() : _cols(0) {
			#ifdef _OCL_MAT
			_carray=(cl_mem)(0);
			#endif
			}
			~UCL_H_Vec() { _host_free(*this); }

			/// Construct with n columns
			/ \sa alloc() /
			UCL_H_Vec(const size_t n, UCL_Device &device,
			const enum UCL_MEMOPT kind=UCL_READ_WRITE)
			{ _cols=0; _kind=UCL_VIEW; alloc(n,device,kind); }

			/// Set up host vector with 'cols' columns and reserve memory
			/** The kind parameter controls memory pinning as follows:
			* - UCL_READ_WRITE - Specify that you will read and write from host
			* - UCL_WRITE_ONLY - Specify that you will only write from host
			* - UCL_READ_ONLY - Specify that you will only read from host
			* - UCL_NOT_PINNED - Memory is not pinned/page-locked on host
			* \param cq Default command queue for operations copied from another mat
			* \return UCL_SUCCESS if the memory allocation is successful **/
			template <class mat_type>
			inline int alloc(const size_t cols, mat_type &cq,
			const enum UCL_MEMOPT kind=UCL_READ_WRITE,
			const enum UCL_MEMOPT kind2=UCL_NOT_SPECIFIED) {
			clear();

			_row_bytes=cols*sizeof(numtyp);
			int err=_host_alloc(*this,cq,_row_bytes,kind,kind2);

			if (err!=UCL_SUCCESS) {
			#ifndef UCL_NO_EXIT
			std::cerr << "UCL Error: Could not allocate " << _row_bytes
			<< " bytes on host.\n";
			_row_bytes=0;
			UCL_GERYON_EXIT;
			#endif
			_row_bytes=0;
			return err;
			}

			_cols=cols;
			_kind=kind;
			_end=_array+cols;
			return err;
			}

			/// Set up host vector with 'cols' columns and reserve memory
			/** The kind parameter controls memory pinning as follows:
			* - UCL_READ_WRITE - Specify that you will read and write from host
			* - UCL_WRITE_ONLY - Specify that you will only write from host
			* - UCL_READ_ONLY - Specify that you will only read from host
			* - UCL_NOT_PINNED - Memory is not pinned/page-locked on host
			* \param device Used to get the default command queue for operations
			* \return UCL_SUCCESS if the memory allocation is successful **/
			inline int alloc(const size_t cols, UCL_Device &device,
			const enum UCL_MEMOPT kind=UCL_READ_WRITE,
			const enum UCL_MEMOPT kind2=UCL_NOT_SPECIFIED) {
			clear();

			_row_bytes=cols*sizeof(numtyp);
			int err=_host_alloc(*this,device,_row_bytes,kind,kind2);

			if (err!=UCL_SUCCESS) {
			#ifndef UCL_NO_EXIT
			std::cerr << "UCL Error: Could not allocate " << _row_bytes
			<< " bytes on host.\n";
			_row_bytes=0;
			UCL_GERYON_EXIT;
			#endif
			_row_bytes=0;
			return err;
			}

			_cols=cols;
			_kind=kind;
			_end=_array+cols;
			return err;
			}

			/// Do not allocate memory, instead use an existing allocation from Geryon
			/** This function must be passed a Geryon vector or matrix container.
			* No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - Viewing a device container on the host is not supported **/
			template <class ucl_type>
			inline void view(ucl_type &input, const size_t rows, const size_t cols) {
			#ifdef UCL_DEBUG
			assert(rows==1);
			#endif
			clear();
			_kind=UCL_VIEW;
			_cols=cols;
			_row_bytes=_cols*sizeof(numtyp);
			this->_cq=input.cq();
			_array=input.begin();
			_end=_array+_cols;
			#ifdef _OCL_MAT
			_carray=input.cbegin();
			CL_SAFE_CALL(clRetainMemObject(input.cbegin()));
			CL_SAFE_CALL(clRetainCommandQueue(input.cq()));
			#endif
			}

			/// Do not allocate memory, instead use an existing allocation from Geryon
			/** This function must be passed a Geryon vector or matrix container.
			* No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - Viewing a device container on the host is not supported
			* \param stride Number of _elements_ between the start of each row **/
			template <class ucl_type>
			inline void view(ucl_type &input, const size_t rows, const size_t cols,
			const size_t stride) { view(input,rows,cols); }

			/// Do not allocate memory, instead use an existing allocation from Geryon
			/** This function must be passed a Geryon vector or matrix container.
			* No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - If a matrix is used a input, all elements (including padding)
			* will be used for view
			* - Viewing a device container on the host is not supported **/
			template <class ucl_type>
			inline void view(ucl_type &input, const size_t cols)
			{ view(input,1,cols); }

			/// Do not allocate memory, instead use an existing allocation from Geryon
			/** This function must be passed a Geryon vector or matrix container.
			* No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container
			* - If a matrix is used a input, all elements (including padding)
			* will be used for view
			* - Viewing a device container on the host is not supported **/
			template <class ucl_type>
			inline void view(ucl_type &input)
			{ view(input,input.rows()*input.row_size()); }

			/// Do not allocate memory, instead use an existing allocation
			/** - No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - Viewing a device pointer on the host is not supported **/
			template <class ptr_type>
			inline void view(ptr_type *input, const size_t rows, const size_t cols,
			UCL_Device &dev) {
			#ifdef UCL_DEBUG
			assert(rows==1);
			#endif
			clear();
			_kind=UCL_VIEW;
			_cols=cols;
			_row_bytes=_cols*sizeof(numtyp);
			this->_cq=dev.cq();
			_array=input;
			_end=_array+_cols;

			#ifdef _OCL_MAT
			_host_view(*this,dev,_row_bytes);
			#endif
			}

			/// Do not allocate memory, instead use an existing allocation
			/** - No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - Viewing a device pointer on the host is not supported
			* \param stride Number of _elements_ between the start of each row **/
			template <class ptr_type>
			inline void view(ptr_type *input, const size_t rows, const size_t cols,
			const size_t stride, UCL_Device &dev)
			{ view(input,rows,cols,stride); }

			/// Do not allocate memory, instead use an existing allocation
			/** - No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - Viewing a device pointer on the host is not supported **/
			template <class ptr_type>
			inline void view(ptr_type *input, const size_t cols, UCL_Device &dev)
			{ view(input,1,cols,dev); }

			/// Do not allocate memory, instead use an existing allocation from Geryon
			/** This function must be passed a Geryon vector or matrix container.
			* No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - Viewing a device container on the host is not supported **/
			template <class ucl_type>
			inline void view_offset(const size_t offset,ucl_type &input,const size_t rows,
			const size_t cols) {
			#ifdef UCL_DEBUG
			assert(rows==1);
			#endif
			clear();
			_kind=UCL_VIEW;
			_cols=cols;
			_row_bytes=_cols*sizeof(numtyp);
			this->_cq=input.cq();
			_array=input.begin()+offset;
			_end=_array+_cols;
			#ifdef _OCL_MAT
			_host_view(*this,input,_row_bytes);
			#endif
			}

			/// Do not allocate memory, instead use an existing allocation from Geryon
			/** This function must be passed a Geryon vector or matrix container.
			* No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - Viewing a device container on the host is not supported
			* \param stride Number of _elements_ between the start of each row **/
			template <class ucl_type>
			inline void view_offset(const size_t offset,ucl_type &input,const size_t rows,
			const size_t cols, const size_t stride)
			{ view_offset(offset,input,rows,cols); }

			/// Do not allocate memory, instead use an existing allocation from Geryon
			/** This function must be passed a Geryon vector or matrix container.
			* No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - If a matrix is used a input, all elements (including padding)
			* will be used for view
			* - Viewing a device container on the host is not supported **/
			template <class ucl_type>
			inline void view_offset(const size_t offset,ucl_type &input,const size_t cols)
			{ view_offset(offset,input,1,cols); }

			/// Do not allocate memory, instead use an existing allocation from Geryon
			/** This function must be passed a Geryon vector or matrix container.
			* No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - If a matrix is used a input, all elements (including padding)
			* will be used for view
			* - Viewing a device container on the host is not supported **/
			template <class ucl_type>
			inline void view_offset(const size_t offset, ucl_type &input)
			{ view_offset(offset,input,input.rows()*input.row_size()-offset); }

			/// Do not allocate memory, instead use an existing allocation
			/** - No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - Viewing a device pointer on the host is not supported **/
			template <class ptr_type>
			inline void view_offset(const size_t offset,ptr_type *input,const size_t rows,
			const size_t cols, UCL_Device &dev)
			{ view(input+offset,rows,cols,dev); }

			/// Do not allocate memory, instead use an existing allocation
			/** - No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - Viewing a device pointer on the host is not supported
			* \param stride Number of _elements_ between the start of each row **/
			template <class ptr_type>
			inline void view_offset(const size_t offset,ptr_type *input,const size_t rows,
			const size_t cols,const size_t stride,UCL_Device &dev)
			{ view(input+offset,rows,cols,stride,dev); }

			/// Do not allocate memory, instead use an existing allocation
			/** - No memory is freed when the object is destructed.
			* - The view does not prevent the memory from being freed by the
			* allocating container when using CUDA APIs
			* - Viewing a device pointer on the host is not supported **/
			template <class ptr_type>
			inline void view_offset(const size_t offset, ptr_type *input,
			const size_t cols, UCL_Device &dev)
			{ view(input+offset,1,cols,dev); }

			/// Free memory and set size to 0
			inline void clear()
			{ _host_free(*this); _kind=UCL_VIEW; _cols=0; }

			/// Resize the allocation to contain cols elements
			/ \note Cannot be used on views /
			inline int resize(const int cols) {
			assert(_kind!=UCL_VIEW);
			_row_bytes=cols*sizeof(numtyp);
			int err=_host_resize(*this,_row_bytes);

			if (err!=UCL_SUCCESS) {
			#ifndef UCL_NO_EXIT
			std::cerr << "UCL Error: Could not allocate " << _row_bytes
			<< " bytes on host.\n";
			_row_bytes=0;
			UCL_GERYON_EXIT;
			#endif
			_row_bytes=0;
			return err;
			}

			_cols=cols;
			_end=_array+cols;
			return err;
			}

			/// Resize (only if bigger) the allocation to contain cols elements
			/ \note Cannot be used on views /
			inline int resize_ib(const int cols)
			{ if (cols>_cols) return resize(cols); else return UCL_SUCCESS; }

			/// Set each element to zero
			inline void zero() { _host_zero(_array,row_bytes()); }

			/// Set first n elements to zero
			inline void zero(const int n) { _host_zero(_array,n*sizeof(numtyp)); }

			/// Get host pointer to first element
			inline numtyp * begin() { return _array; }
			/// Get host pointer to first element
			inline const numtyp * begin() const { return _array; }
			/// Get host pointer to one past last element
			inline numtyp * end() { return _end; }
			/// Get host pointer to one past last element
			inline const numtyp * end() const { return _end; }

			/// Get the number of elements
			inline size_t numel() const { return _cols; }
			/// Get the number of rows
			inline size_t rows() const { return 1; }
			/// Get the number of columns
			inline size_t cols() const { return _cols; }
			///Get the size of a row (including any padding) in elements
			inline size_t row_size() const { return _cols; }
			/// Get the size of a row (including any padding) in bytes
			inline size_t row_bytes() const { return _row_bytes; }
			/// Get the size in bytes of 1 element
			inline int element_size() const { return sizeof(numtyp); }

			/// Get element at index i
			inline numtyp & operator[](const int i) { return _array[i]; }
			/// Get element at index i
			inline const numtyp & operator[](const int i) const { return _array[i]; }
			/// 2D access (row should always be 0)
			inline numtyp & operator()(const int row, const int col)
			{ return _array[col]; }
			/// 2D access (row should always be 0)
			inline const numtyp & operator()(const int row, const int col) const
			{ return _array[col]; }

			/// Returns pointer to memory pointer for allocation on host
			inline numtyp ** host_ptr() { return &_array; }

			/// Return the offset (in elements) from begin() pointer where data starts
			/ \note Always 0 for host matrices and CUDA APIs /
			inline size_t offset() const { return 0; }
			/// Return the offset (in bytes) from begin() pointer where data starts
			/ \note Always 0 for host matrices and CUDA APIs /
			inline size_t byteoff() const { return 0; }

			#ifdef _OCL_MAT
			/// For OpenCL, returns a reference to the cl_mem object
			inline device_ptr & cbegin() { return _carray; }
			/// For OpenCL, returns a reference to the cl_mem object
			inline const device_ptr & cbegin() const { return _carray; }
			#endif

			private:
			numtyp _array, _end;
			size_t _row_bytes, _cols;

			#ifdef _OCL_MAT
			device_ptr _carray;
			#endif
			};

			#endif

lammps/lib/gpu/geryon/ucl_h_vec.h0f6d21acda7blammm-master-deprecated

ucl_h_vec.hView Options

lammps/lib/gpu/geryon/ucl_h_vec.h
0f6d21acda7blammm-master-deprecated

ucl_h_vec.h
View Options