/usr/include/trilinos/Kokkos_Cuda.hpp is in libtrilinos-kokkos-dev 12.10.1-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 | /*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2014) 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_Core_fwd.hpp>
// If CUDA execution space is enabled then use this header file.
#if defined( KOKKOS_HAVE_CUDA )
#include <iosfwd>
#include <vector>
#include <Kokkos_CudaSpace.hpp>
#include <Kokkos_Parallel.hpp>
#include <Kokkos_TaskScheduler.hpp>
#include <Kokkos_Layout.hpp>
#include <Kokkos_ScratchSpace.hpp>
#include <Kokkos_MemoryTraits.hpp>
#include <impl/Kokkos_Tags.hpp>
#include <KokkosExp_MDRangePolicy.hpp>
/*--------------------------------------------------------------------------*/
namespace Kokkos {
namespace Impl {
class CudaExec ;
} // namespace Impl
} // namespace Kokkos
/*--------------------------------------------------------------------------*/
namespace Kokkos {
/// \class Cuda
/// \brief Kokkos Execution Space that uses CUDA to run on GPUs.
///
/// An "execution space" 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 execution space uses Pthreads or
/// C++11 threads on a CPU, the OpenMP execution space uses the OpenMP language
/// extensions, and the Serial execution space executes "parallel" kernels
/// sequentially. The Cuda execution space uses NVIDIA's CUDA programming
/// model to execute kernels in parallel on GPUs.
class Cuda {
public:
//! \name Type declarations that all Kokkos execution spaces must provide.
//@{
//! Tag this class as a kokkos execution space
typedef Cuda execution_space ;
#if defined( KOKKOS_USE_CUDA_UVM )
//! This execution space's preferred memory space.
typedef CudaUVMSpace memory_space ;
#else
//! This execution space's preferred memory space.
typedef CudaSpace memory_space ;
#endif
//! This execution space preferred device_type
typedef Kokkos::Device<execution_space,memory_space> device_type;
//! The size_type best suited for this execution space.
typedef memory_space::size_type size_type ;
//! This execution space's preferred array layout.
typedef LayoutLeft array_layout ;
//!
typedef ScratchMemorySpace< Cuda > scratch_memory_space ;
//@}
//--------------------------------------------------
//! \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();
//! Has been initialized
static int is_initialized();
/** \brief Return the maximum amount of concurrency. */
static int concurrency();
//! Print configuration information to the given output stream.
static void print_configuration( std::ostream & , const bool detail = false );
//@}
//--------------------------------------------------
//! \name Cuda space instances
~Cuda() {}
Cuda();
explicit Cuda( const int instance_id );
Cuda( Cuda && ) = default ;
Cuda( const Cuda & ) = default ;
Cuda & operator = ( Cuda && ) = default ;
Cuda & operator = ( const Cuda & ) = default ;
//--------------------------------------------------------------------------
//! \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()
, const size_t num_instances = 1 );
/// \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();
cudaStream_t cuda_stream() const { return m_stream ; }
int cuda_device() const { return m_device ; }
//@}
//--------------------------------------------------------------------------
private:
cudaStream_t m_stream ;
int m_device ;
};
} // namespace Kokkos
/*--------------------------------------------------------------------------*/
/*--------------------------------------------------------------------------*/
namespace Kokkos {
namespace Impl {
template<>
struct VerifyExecutionCanAccessMemorySpace
< Kokkos::CudaSpace
, Kokkos::Cuda::scratch_memory_space
>
{
enum { value = true };
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
>
{
enum { value = false };
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>
#include <Cuda/Kokkos_Cuda_Task.hpp>
//----------------------------------------------------------------------------
#endif /* #if defined( KOKKOS_HAVE_CUDA ) */
#endif /* #ifndef KOKKOS_CUDA_HPP */
|