config_constructor

private pure function config_constructor(enable_log, enable_z_slab, enable_y_slab, n_measure_warmup_iters, n_measure_iters, platform, stream, backend, reshape_backend, enable_datatype_backend, enable_mpi_backends, enable_pipelined_backends, enable_rma_backends, enable_fused_backends, enable_nccl_backends, enable_nvshmem_backends, enable_kernel_autotune, enable_fourier_reshape, transpose_mode, access_mode, enable_compressed_backends, compression_config_transpose, compression_config_reshape) result(config)

Creates a new configuration

Arguments

Type	Intent	Optional		Name
logical,	intent(in),	optional	::	enable_log	Should dtFFT print additional information during plan creation or not.
logical,	intent(in),	optional	::	enable_z_slab	Should dtFFT use Z-slab optimization or not.
logical,	intent(in),	optional	::	enable_y_slab	Should dtFFT use Y-slab optimization or not.
integer(kind=int32),	intent(in),	optional	::	n_measure_warmup_iters	Number of warmup iterations for measurements
integer(kind=int32),	intent(in),	optional	::	n_measure_iters	Number of measurement iterations
type(dtfft_platform_t),	intent(in),	optional	::	platform	Selects platform to execute plan.
type(dtfft_stream_t),	intent(in),	optional	::	stream	Main CUDA stream that will be used in dtFFT.
type(dtfft_backend_t),	intent(in),	optional	::	backend	Backend that will be used by dtFFT when `effort` is `DTFFT_ESTIMATE` or `DTFFT_MEASURE`.
type(dtfft_backend_t),	intent(in),	optional	::	reshape_backend	Backend that will be used by dtFFT for data reshaping from bricks to pencils and vice versa when `effort` is `DTFFT_ESTIMATE` or `DTFFT_MEASURE`.
logical,	intent(in),	optional	::	enable_datatype_backend	Should `DTFFT_BACKEND_MPI_DATATYPE` be enabled when `effort` is `DTFFT_PATIENT` or not.
logical,	intent(in),	optional	::	enable_mpi_backends	Should MPI Backends be enabled when `effort` is `DTFFT_PATIENT` or not.
logical,	intent(in),	optional	::	enable_pipelined_backends	Should pipelined backends be enabled when `effort` is `DTFFT_PATIENT` or not.
logical,	intent(in),	optional	::	enable_rma_backends	Should RMA backends be enabled when `effort` is `DTFFT_PATIENT` or not.
logical,	intent(in),	optional	::	enable_fused_backends	Should fused backends be enabled when `effort` is `DTFFT_PATIENT` or not.
logical,	intent(in),	optional	::	enable_nccl_backends	Should NCCL Backends be enabled when `effort` is `DTFFT_PATIENT` or not.
logical,	intent(in),	optional	::	enable_nvshmem_backends	Should NVSHMEM Backends be enabled when `effort` is `DTFFT_PATIENT` or not.
logical,	intent(in),	optional	::	enable_kernel_autotune	Should dtFFT try to autotune transpose/packing/unpacking kernels size during autotune process or not.
logical,	intent(in),	optional	::	enable_fourier_reshape	Should dtFFT execute reshapes from pencils to bricks and vice versa in Fourier space during calls to `execute` or not.
type(dtfft_transpose_mode_t),	intent(in),	optional	::	transpose_mode	Specifies at which stage the local transposition is performed during global exchange.
type(dtfft_access_mode_t),	intent(in),	optional	::	access_mode	Specifies the memory access pattern (optimization target) for local transposition in Generic backends.
logical,	intent(in),	optional	::	enable_compressed_backends	Should compressed backends be enabled when `effort` is `DTFFT_PATIENT` or `DTFFT_EXHAUSTIVE`.
type(dtfft_compression_config_t),	intent(in),	optional	::	compression_config_transpose	Options for compression approach during transpositions
type(dtfft_compression_config_t),	intent(in),	optional	::	compression_config_reshape	Options for compression approach during transpositions

Return Value type(dtfft_config_t)

Constructed dtFFT config ready to be set by call to dtfft_set_config

Called by

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config_constructor Function

Contents

Arguments

Return Value type(dtfft_config_t)

Called by