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lib/kokkos/core/src/Kokkos_Cuda.hpp
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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
*/
#ifndef KOKKOS_CUDA_HPP
#define KOKKOS_CUDA_HPP
#include <Kokkos_Macros.hpp>
//----------------------------------------------------------------------------
// If CUDA execution space is enabled then use this header file.
#if defined( KOKKOS_HAVE_CUDA )
#if defined( __CUDACC__ )
#include <cuda.h>
/* Compiling with a CUDA compiler.
*
* Include <cuda.h> to pick up the CUDA_VERSION macro defined as:
* CUDA_VERSION = ( MAJOR_VERSION * 1000 ) + ( MINOR_VERSION * 10 )
*
* When generating device code the __CUDA_ARCH__ macro is defined as:
* __CUDA_ARCH__ = ( MAJOR_CAPABILITY * 100 ) + ( MINOR_CAPABILITY * 10 )
*/
#if ! defined( CUDA_VERSION )
#error "#include <cuda.h> did not define CUDA_VERSION"
#endif
#if ( CUDA_VERSION < 4010 )
#error "Cuda version 4.1 or greater required"
#endif
#if defined( __CUDA_ARCH__ ) && ( __CUDA_ARCH__ < 200 )
/* Compiling with CUDA compiler for device code. */
#error "Cuda device capability >= 2.0 is required"
#endif
#endif /* #if defined( __CUDACC__ ) */
//----------------------------------------------------------------------------
#include <iosfwd>
#include <vector>
#if defined( KOKKOS_HAVE_OPENMP )
#include <Kokkos_OpenMP.hpp>
#elif defined( KOKKOS_HAVE_PTHREAD )
#include <Kokkos_Threads.hpp>
#else
#endif
#include <Kokkos_Serial.hpp>
#include <Kokkos_Parallel.hpp>
#include <Kokkos_Layout.hpp>
#include <Kokkos_CudaSpace.hpp>
#include <Kokkos_ScratchSpace.hpp>
#include <Kokkos_MemoryTraits.hpp>
#include <impl/Kokkos_Tags.hpp>
/*--------------------------------------------------------------------------*/
namespace Kokkos {
namespace Impl {
class CudaExec ;
} // namespace Impl
} // namespace Kokkos
/*--------------------------------------------------------------------------*/
namespace Kokkos {
/// \class Cuda
/// \brief Kokkos device that uses CUDA to run on GPUs.
///
/// A "device" represents a parallel execution model. It tells Kokkos
/// how to parallelize the execution of kernels in a parallel_for or
/// parallel_reduce. For example, the Threads device uses Pthreads or
/// C++11 threads on a CPU, the OpenMP device uses the OpenMP language
/// extensions, and the Serial device executes "parallel" kernels
/// sequentially. The Cuda device uses NVIDIA's CUDA programming
/// model to execute kernels in parallel on GPUs.
class Cuda {
public:
//! \name Type declarations that all Kokkos devices must provide.
//@{
//! The tag (what type of kokkos_object is this).
typedef Impl::ExecutionSpaceTag kokkos_tag ;
//! The device type (same as this class).
typedef Cuda device_type ;
//! This device's execution space.
typedef Cuda execution_space ;
//! This device's preferred memory space.
typedef CudaSpace memory_space ;
//! The size_type typedef best suited for this device.
typedef CudaSpace::size_type size_type ;
//! This device's preferred array layout.
typedef LayoutLeft array_layout ;
typedef ScratchMemorySpace< Cuda > scratch_memory_space ;
//! This device's host mirror type.
#if defined( KOKKOS_HAVE_OPENMP )
typedef Kokkos::OpenMP host_mirror_device_type ;
#elif defined( KOKKOS_HAVE_PTHREAD )
typedef Kokkos::Threads host_mirror_device_type ;
#else
typedef Kokkos::Serial host_mirror_device_type ;
#endif
//@}
//! \name Functions that all Kokkos devices must implement.
//@{
/// \brief True if and only if this method is being called in a
/// thread-parallel function.
KOKKOS_INLINE_FUNCTION static int in_parallel() {
#if defined( __CUDA_ARCH__ )
return true;
#else
return false;
#endif
}
/** \brief Set the device in a "sleep" state.
*
* This function sets the device in a "sleep" state in which it is
* not ready for work. This may consume less resources than if the
* device were in an "awake" state, but it may also take time to
* bring the device from a sleep state to be ready for work.
*
* \return True if the device is in the "sleep" state, else false if
* the device is actively working and could not enter the "sleep"
* state.
*/
static bool sleep();
/// \brief Wake the device from the 'sleep' state so it is ready for work.
///
/// \return True if the device is in the "ready" state, else "false"
/// if the device is actively working (which also means that it's
/// awake).
static bool wake();
/// \brief Wait until all dispatched functors complete.
///
/// The parallel_for or parallel_reduce dispatch of a functor may
/// return asynchronously, before the functor completes. This
/// method does not return until all dispatched functors on this
/// device have completed.
static void fence();
//! Free any resources being consumed by the device.
static void finalize();
//! Print configuration information to the given output stream.
static void print_configuration( std::ostream & , const bool detail = false );
//@}
//--------------------------------------------------------------------------
//! \name Device-specific functions
//@{
struct SelectDevice {
int cuda_device_id ;
SelectDevice() : cuda_device_id(0) {}
explicit SelectDevice( int id ) : cuda_device_id( id ) {}
};
//! Initialize, telling the CUDA run-time library which device to use.
static void initialize( const SelectDevice = SelectDevice() );
static void initialize( int device );
static void initialize( int device , int );
static int is_initialized();
/// \brief Cuda device architecture of the selected device.
///
/// This matches the __CUDA_ARCH__ specification.
static size_type device_arch();
//! Query device count.
static size_type detect_device_count();
/** \brief Detect the available devices and their architecture
* as defined by the __CUDA_ARCH__ specification.
*/
static std::vector<unsigned> detect_device_arch();
static unsigned team_max();
static unsigned team_recommended();
//@}
//--------------------------------------------------------------------------
};
} // namespace Kokkos
/*--------------------------------------------------------------------------*/
/*--------------------------------------------------------------------------*/
namespace Kokkos {
namespace Impl {
template<>
struct VerifyExecutionCanAccessMemorySpace
< Kokkos::Cuda::memory_space
, Kokkos::Cuda::scratch_memory_space
>
{
KOKKOS_INLINE_FUNCTION static void verify( void ) { }
KOKKOS_INLINE_FUNCTION static void verify( const void * ) { }
};
template<>
struct VerifyExecutionCanAccessMemorySpace
< Kokkos::HostSpace
, Kokkos::Cuda::scratch_memory_space
>
{
inline static void verify( void ) { CudaSpace::access_error(); }
inline static void verify( const void * p ) { CudaSpace::access_error(p); }
};
} // namespace Impl
} // namespace Kokkos
/*--------------------------------------------------------------------------*/
/*--------------------------------------------------------------------------*/
#include <Cuda/Kokkos_CudaExec.hpp>
#include <Cuda/Kokkos_Cuda_View.hpp>
#include <Cuda/Kokkos_Cuda_Parallel.hpp>
//----------------------------------------------------------------------------
#endif /* #if defined( KOKKOS_HAVE_CUDA ) */
#endif /* #ifndef KOKKOS_CUDA_HPP */