39#ifdef __cpp_lib_format
45#ifdef ALPAKA_ACC_CPU_B_OMP2_T_SEQ_ENABLED
48# error If ALPAKA_ACC_CPU_B_OMP2_T_SEQ_ENABLED is set, the compiler has to support OpenMP 2.0 or higher!
53 template<
typename TDim,
typename TIdx,
typename TKernelFnObj,
typename... TArgs>
61 template<
typename TDim,
typename TIdx>
76# ifdef ALPAKA_DISABLE_VENDOR_RNG
85 sizeof(TIdx) >=
sizeof(int),
86 "Index type is not supported, consider using int or a larger type.");
90 template<
typename TDim2,
typename TIdx2,
typename TKernelFnObj,
typename... TArgs>
91 friend class ::alpaka::TaskKernelCpuOmp2Blocks;
99 template<
typename TWorkDiv>
102 , gb::
IdxGbRef<TDim, TIdx>(m_gridBlockIdx)
105 , m_gridBlockIdx(
Vec<TDim, TIdx>::zeros())
117 template<
typename TDim,
typename TIdx>
124 template<
typename TDim,
typename TIdx>
130 template<
typename TDim,
typename TIdx>
136 template<
typename TDim,
typename TIdx>
146 std::numeric_limits<TIdx>::max(),
150 static_cast<TIdx
>(1),
154 std::numeric_limits<TIdx>::max(),
163 template<
typename TDim,
typename TIdx>
168# if ALPAKA_COMP_CLANG
169# pragma clang diagnostic push
170# pragma clang diagnostic ignored "-Wexit-time-destructors"
172 using namespace std::literals;
173 static std::string
const accName =
174# ifdef __cpp_lib_format
181# if ALPAKA_COMP_CLANG
182# pragma clang diagnostic pop
188 template<
typename TDim,
typename TIdx>
195 template<
typename TDim,
typename TIdx>
202 template<
typename TDim,
typename TIdx,
typename TWorkDiv,
typename TKernelFnObj,
typename... TArgs>
206 TWorkDiv
const& workDiv,
207 TKernelFnObj
const& kernelFnObj,
210 if(workDiv.m_blockThreadExtent.prod() !=
static_cast<TIdx
>(1u))
212 throw std::runtime_error(
213 "The given work division is not valid for a single thread Acc: "
220 std::forward<TArgs>(args)...);
225 template<
typename TDim,
typename TIdx>
232 template<
typename TDim,
typename TIdx>
238 template<
typename TDim,
typename TIdx>
244 template<
typename TDim,
typename TIdx>
The CPU OpenMP 2.0 block accelerator.
AccCpuOmp2Blocks(AccCpuOmp2Blocks const &)=delete
auto operator=(AccCpuOmp2Blocks const &) -> AccCpuOmp2Blocks &=delete
AccCpuOmp2Blocks(AccCpuOmp2Blocks &&)=delete
auto operator=(AccCpuOmp2Blocks &&) -> AccCpuOmp2Blocks &=delete
Dynamic block shared memory provider using fixed-size member array to allocate memory on the stack or...
static constexpr auto staticAllocBytes() -> std::uint32_t
auto staticMemBegin() const -> uint8_t *
auto staticMemCapacity() const -> std::uint32_t
Static block shared memory provider using a pointer to externally allocated fixed-size memory,...
The no op block synchronization.
The CPU OpenMP 2.0 block memory fence.
The CPU OpenMP 2.0 block accelerator execution task.
ALPAKA_NO_HOST_ACC_WARNING static ALPAKA_FN_HOST_ACC constexpr auto ones() -> Vec< TDim, TVal >
One value constructor.
ALPAKA_NO_HOST_ACC_WARNING static ALPAKA_FN_HOST_ACC constexpr auto all(TVal const &val) -> Vec< TDim, TVal >
Single value constructor.
A basic class holding the work division as grid block extent, block thread and thread element extent.
A zero block thread index provider.
A IdxGbRef grid block index.
IdxGbRef(Vec< TDim, TIdx > const &gridBlockIdx)
The standard library math trait specializations.
"Tiny" state mersenne twister implementation
constexpr std::string_view demangled
auto clipCast(V const &val) -> T
The alpaka accelerator library.
ALPAKA_FN_HOST auto getMemBytes(TDev const &dev) -> std::size_t
ALPAKA_FN_HOST auto getAccName() -> std::string
The acceleration properties on a device.
Tag used in class inheritance hierarchies that describes that a specific interface (TInterface) is im...
The accelerator type trait.
static auto createTaskKernel(TWorkDiv const &workDiv, TKernelFnObj const &kernelFnObj, TArgs &&... args)
The kernel execution task creation trait.
The dimension getter type trait.
static auto getAccDevProps(DevCpu const &dev) -> alpaka::AccDevProps< TDim, TIdx >
The device properties get trait.
static auto getAccName() -> std::string
The accelerator name trait.
The multi thread accelerator trait.
The single thread accelerator trait.
The single-threaded warp to emulate it on CPUs.