Module sparse_fft_gpu_kernels 

GPU kernel implementations for sparse FFT algorithms

This module contains kernel implementations for various sparse FFT algorithms targeted at GPU acceleration. These kernels are designed to be highly optimized for specific GPU architectures and can be used with different GPU backends (CUDA, HIP, SYCL).

Structs

FFTKernel

Kernel for computing FFT on GPU

KernelConfig

GPU kernel configuration

KernelFactory

Kernel factory for creating optimized kernels

KernelLauncher

Kernel launcher for executing kernels with optimal parameters

KernelStats

Kernel execution statistics

SparseFFTKernel

Kernel for computing sparse FFT on GPU

Enums

KernelImplementation

Kernel implementation type

Traits

GPUKernel

Trait for GPU kernels

Functions

execute_sparse_fft_kernel

Execute sparse FFT on GPU using optimized kernels