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lammps/lib/gpu/geryon/ucl_h_mat.h
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ucl_h_mat.h
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/***************************************************************************
ucl_h_mat.h
-------------------
W. Michael Brown
Matrix 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
/// Matrix on Host with options for pinning (page locked)
template <class numtyp>
class UCL_H_Mat : 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 = 0
};
typedef numtyp data_type;
UCL_H_Mat() : _cols(0) {
#ifdef _OCL_MAT
_carray=(cl_mem)(0);
#endif
}
~UCL_H_Mat() { _host_free(*this); }
/// Construct with specied number of rows and columns
/** \sa alloc() **/
UCL_H_Mat(const size_t rows, const size_t cols, UCL_Device &device,
const enum UCL_MEMOPT kind=UCL_READ_WRITE)
{ _cols=0; _kind=UCL_VIEW; alloc(rows,cols,device,kind); }
/// Set up host matrix with specied # of rows/cols 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 rows, 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*rows,kind,kind2);
if (err!=UCL_SUCCESS) {
#ifndef UCL_NO_EXIT
std::cerr << "UCL Error: Could not allocate " << _row_bytes*_rows
<< " bytes on host.\n";
_row_bytes=0;
UCL_GERYON_EXIT;
#endif
_row_bytes=0;
return err;
}
_cols=cols;
_rows=rows;
_kind=kind;
_end=_array+rows*cols;
return err;
}
/// Set up host matrix with specied # of rows/cols 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 rows, 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*rows,kind,kind2);
if (err!=UCL_SUCCESS) {
#ifndef UCL_NO_EXIT
std::cerr << "UCL Error: Could not allocate " << _row_bytes*_rows
<< " bytes on host.\n";
_row_bytes=0;
UCL_GERYON_EXIT;
#endif
_row_bytes=0;
return err;
}
_cols=cols;
_rows=rows;
_kind=kind;
_end=_array+rows*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
* \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) {
assert(rows==1 || stride==cols);
clear();
_kind=UCL_VIEW;
_cols=cols;
_rows=rows;
_row_bytes=stride*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 **/
template <class ucl_type>
inline void view(ucl_type &input, const size_t rows, const size_t cols)
{ view(input,rows,cols,input.row_size()); }
/// 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 when using CUDA APIs
* - If a matrix is used a input, all elements (including padding)
* will be used for view when using CUDA APIs
* - 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.cols()); }
/// 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) {
assert(rows==1 || stride==cols);
clear();
_kind=UCL_VIEW;
_cols=cols;
_rows=rows;
_row_bytes=stride*sizeof(numtyp);
this->_cq=dev.cq();
_array=input;
_end=_array+_cols;
#ifdef _OCL_MAT
_host_view(*this,dev,_row_bytes*rows);
#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 **/
template <class ptr_type>
inline void view(ptr_type *input, const size_t rows, const size_t cols,
UCL_Device &dev) { view(input,rows,cols,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 **/
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
* \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) {
assert(rows==1 || stride==cols);
clear();
_kind=UCL_VIEW;
_cols=cols;
_rows=rows;
_row_bytes=stride*sizeof(numtyp);
this->_cq=input.cq();
_array=input.begin()+offset;
_end=_array+_cols;
#ifdef _OCL_MAT
_host_view(*this,input,_row_bytes*_rows);
#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 **/
template <class ucl_type>
inline void view_offset(const size_t offset,ucl_type &input,const size_t rows,
const size_t cols)
{ view_offset(offset,input,rows,cols,input.row_size()); }
/// 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) {
if (input.rows()==1)
view_offset(offset,input,1,input.cols()-offset);
else
view_offset(offset,input,input.rows()-offset/input.row_size(),
input.cols());
}
/// 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
* - 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); _cols=0; _kind=UCL_VIEW; }
/// Resize the allocation to rows x cols elements
/** \note Cannot be used on views **/
inline int resize(const int rows, const int cols) {
assert(_kind!=UCL_VIEW);
_row_bytes=cols*sizeof(numtyp);
int err=_host_resize(*this,_row_bytes*rows);
if (err!=UCL_SUCCESS) {
#ifndef UCL_NO_EXIT
std::cerr << "UCL Error: Could not allocate " << _row_bytes*_rows
<< " bytes on host.\n";
_row_bytes=0;
UCL_GERYON_EXIT;
#endif
_row_bytes=0;
return err;
}
_cols=cols;
_rows=rows;
_end=_array+rows*cols;
return err;
}
/// Resize (only if bigger) the allocation to contain rows x cols elements
/** \note Cannot be used on views **/
inline int resize_ib(const int rows, const int cols)
{ if (cols>_cols || rows>_rows) return resize(rows,cols);
else return UCL_SUCCESS; }
/// Set each element to zero
inline void zero() { _host_zero(_array,_rows*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 _rows*_cols; }
/// Get the number of rows
inline size_t rows() const { return _rows; }
/// 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[row*_cols+col]; }
/// 2D access (row should always be 0)
inline const numtyp & operator()(const int row, const int col) const
{ return _array[row*_cols+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
/// Returns an API specific device pointer (cl_mem& for OpenCL, void ** for CUDA)
inline device_ptr & cbegin() { return _carray; }
/// Returns an API specific device pointer (cl_mem& for OpenCL, void ** for CUDA)
inline const device_ptr & cbegin() const { return _carray; }
#else
/// Returns an API specific device pointer (cl_mem& for OpenCL, void ** for CUDA)
inline void ** cbegin() { return (void **)&_array; }
/// Returns an API specific device pointer (cl_mem& for OpenCL, void ** for CUDA)
inline const void ** cbegin() const { return (const void **)&_array; }
#endif
private:
numtyp *_array, *_end;
size_t _row_bytes, _rows, _cols;
#ifdef _OCL_MAT
device_ptr _carray;
#endif
};
#endif
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