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Kokkos_CudaSpace.cu
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Mon, Jul 29, 00:58
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Wed, Jul 31, 00:58 (1 d, 23 h)
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rLAMMPS lammps
Kokkos_CudaSpace.cu
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/*
//@HEADER
// ************************************************************************
//
// Kokkos: Manycore Performance-Portable Multidimensional Arrays
// Copyright (2012) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// 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.
//
// Questions? Contact H. Carter Edwards (hcedwar@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#include <stdlib.h>
#include <iostream>
#include <sstream>
#include <stdexcept>
#include <Kokkos_Cuda.hpp>
#include <Kokkos_CudaSpace.hpp>
#include <Cuda/Kokkos_Cuda_Internal.hpp>
#include <impl/Kokkos_MemoryTracking.hpp>
#include <impl/Kokkos_Error.hpp>
/*--------------------------------------------------------------------------*/
namespace Kokkos {
namespace Impl {
DeepCopy<HostSpace,CudaSpace>
::DeepCopy( void * dst , const void * src , size_t n )
{
CUDA_SAFE_CALL( cudaMemcpy( dst , src , n , cudaMemcpyDefault ) );
}
DeepCopy<CudaSpace,HostSpace>
::DeepCopy( void * dst , const void * src , size_t n )
{
CUDA_SAFE_CALL( cudaMemcpy( dst , src , n , cudaMemcpyDefault ) );
}
DeepCopy<CudaSpace,CudaSpace>
::DeepCopy( void * dst , const void * src , size_t n )
{
CUDA_SAFE_CALL( cudaMemcpy( dst , src , n , cudaMemcpyDefault ) );
}
} // namespace Impl
} // namespace Kokkos
/*--------------------------------------------------------------------------*/
/*--------------------------------------------------------------------------*/
namespace Kokkos {
namespace {
class CudaMemoryTrackingEntry : public Impl::MemoryTrackingEntry
{
public:
void * const ptr_alloc ;
const unsigned size ;
const unsigned count ;
Impl::cuda_texture_object_type tex_obj ;
CudaMemoryTrackingEntry( const std::string & arg_label ,
const std::type_info & arg_info ,
void * const arg_ptr ,
const unsigned arg_size ,
const unsigned arg_count )
: Impl::MemoryTrackingEntry( arg_label , arg_info , arg_ptr , arg_size * arg_count )
, ptr_alloc( arg_ptr )
, size( arg_size )
, count( arg_count )
, tex_obj( 0 )
{}
~CudaMemoryTrackingEntry();
};
CudaMemoryTrackingEntry::~CudaMemoryTrackingEntry()
{
std::ostringstream oss;
bool error = false;
try {
Kokkos::Impl::cuda_device_synchronize();
}
catch(std::runtime_error & err) {
error = true;
oss << err.what() << std::endl;
}
if ( tex_obj ) {
}
try {
CUDA_SAFE_CALL( cudaFree( ptr_alloc ) );
}
catch(std::runtime_error & err) {
error = true;
oss << err.what() << std::endl;
}
if ( error ) {
std::cerr << "cudaFree( " << ptr_alloc << " ) FAILED for " ;
Impl::MemoryTrackingEntry::print( std::cerr );
std::cerr << oss.str() << std::endl;
}
}
Impl::MemoryTracking & cuda_space_singleton()
{
static Impl::MemoryTracking self("Kokkos::CudaSpace");
return self ;
}
bool cuda_space_verify_modifiable( const char * const label )
{
static const char error_in_parallel[] = "Called with HostSpace::in_parallel()" ;
static const char error_not_exists[] = "Called after return from main()" ;
const char * const error_msg =
HostSpace::in_parallel() ? error_in_parallel : (
! cuda_space_singleton().exists() ? error_not_exists : (const char *) 0 );
if ( error_msg ) {
std::cerr << "Kokkos::CudaSpace::" << label << " ERROR : " << error_msg << std::endl ;
}
return error_msg == 0 ;
}
}
/*--------------------------------------------------------------------------*/
/*--------------------------------------------------------------------------*/
void * CudaSpace::allocate(
const std::string & label ,
const std::type_info & scalar_type ,
const size_t scalar_size ,
const size_t scalar_count )
{
void * ptr = 0 ;
const size_t size = scalar_size * scalar_count ;
if ( cuda_space_verify_modifiable("allocate") && size ) {
try {
Kokkos::Impl::cuda_device_synchronize();
#if defined( CUDA_VERSION ) && ( 6000 <= CUDA_VERSION ) && defined(KOKKOS_USE_UVM)
CUDA_SAFE_CALL( cudaMallocManaged( (void**) &ptr, size, cudaMemAttachGlobal) );
#else
CUDA_SAFE_CALL( cudaMalloc( (void**) &ptr, size) );
#endif
Kokkos::Impl::cuda_device_synchronize();
}
catch( std::runtime_error & err ) {
std::ostringstream msg ;
msg << "Kokkos::Impl::CudaSpace::allocate( "
<< label
<< " , " << scalar_type.name()
<< " , " << scalar_size
<< " , " << scalar_count
<< " ) FAILED memory allocation\n"
<< err.what();
Kokkos::Impl::throw_runtime_exception( msg.str() );
}
cuda_space_singleton().insert(
new CudaMemoryTrackingEntry( label , scalar_type , ptr , scalar_size , scalar_count ) );
}
return ptr ;
}
void CudaSpace::increment( const void * ptr )
{
if ( cuda_space_verify_modifiable("increment") ) {
cuda_space_singleton().increment( ptr );
}
}
void CudaSpace::decrement( const void * ptr )
{
if ( cuda_space_verify_modifiable("decrement") ) {
cuda_space_singleton().decrement( ptr );
}
}
void CudaSpace::print_memory_view( std::ostream & o )
{
cuda_space_singleton().print( o , std::string(" ") );
}
//----------------------------------------------------------------------------
std::string CudaSpace::query_label( const void * p )
{
const Impl::MemoryTrackingEntry * entry =
cuda_space_singleton().query( p );
return entry ? entry->label : std::string("ERROR NOT FOUND");
}
void CudaSpace::access_error()
{
const std::string msg("Kokkos::CudaSpace::access_error attempt to execute Cuda function from non-Cuda space" );
Kokkos::Impl::throw_runtime_exception( msg );
}
void CudaSpace::access_error( const void * const ptr )
{
std::ostringstream msg ;
msg << "Kokkos::CudaSpace::access_error:" ;
msg << " attempt to access Cuda-data labeled(" ;
msg << query_label( ptr ) ;
msg << ") from non-Cuda execution" ;
Kokkos::Impl::throw_runtime_exception( msg.str() );
}
/*--------------------------------------------------------------------------*/
} // namespace Kokkos
#if defined( CUDA_VERSION ) && ( 5000 <= CUDA_VERSION )
namespace Kokkos {
namespace Impl {
::cudaTextureObject_t
cuda_texture_object_attach(
const cudaChannelFormatDesc & desc ,
const void * const ptr )
{
if ( 0 == ptr || ! cuda_space_verify_modifiable("texture_object_attach") ) return 0 ;
const unsigned max_count = 1 << 28 ;
CudaMemoryTrackingEntry * entry =
dynamic_cast<CudaMemoryTrackingEntry *>( cuda_space_singleton().query( ptr ) );
const bool ok_found = 0 != entry ;
const bool ok_ptr = ok_found && ptr == entry->ptr_alloc ;
const bool ok_count = ok_found && entry->count < max_count ;
if ( ok_found && ok_ptr && ok_count ) {
// Can only create texture object on device architure 3.0 or better
if ( 0 == entry->tex_obj && 300 <= Cuda::device_arch() ) {
struct cudaResourceDesc resDesc ;
struct cudaTextureDesc texDesc ;
memset( & resDesc , 0 , sizeof(resDesc) );
memset( & texDesc , 0 , sizeof(texDesc) );
resDesc.resType = cudaResourceTypeLinear ;
resDesc.res.linear.desc = desc ;
resDesc.res.linear.sizeInBytes = entry->size * entry->count ;
resDesc.res.linear.devPtr = entry->ptr_alloc ;
cudaCreateTextureObject( & entry->tex_obj, & resDesc, & texDesc, NULL);
}
}
else {
std::ostringstream msg ;
msg << "CudaSpace::texture_object_attach( " << ptr << " ) FAILED: " ;
if ( ! ok_found ) {
msg << "Not View allocated" ;
}
else if ( ! ok_ptr ) {
msg << "Not the originally allocated View \"" << entry->label << "\"" ;
}
else if ( ! ok_count ) {
msg << "Cuda texture object limit exceeded "
<< max_count << " <= " << entry->count ;
}
Kokkos::Impl::throw_runtime_exception( msg.str() );
}
return entry->tex_obj ;
}
} // namespace Impl
} // namespace Kokkos
#endif
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