lhanappa / FFT_CUDALinks
A demo of Fast Fourier transform in CUDA implementing by cooleytukey and stockham method
☆8Updated 7 years ago
Alternatives and similar repositories for FFT_CUDA
Users that are interested in FFT_CUDA are comparing it to the libraries listed below
Sorting:
- ☆40Updated 4 years ago
- Shared memory overlap-and-save method for NVIDIA GPUs using CUDA☆16Updated 2 years ago
- Sample code from the book "Professional CUDA C Programming"☆35Updated 2 years ago
- Efficient SpGEMM on GPU using CUDA and CSR☆54Updated last year
- ☆448Updated 9 years ago
- CSR-based SpGEMM on nVidia and AMD GPUs☆46Updated 9 years ago
- Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…☆39Updated last year
- fast Fourier transform on GPU in shared memory for AstroAccelerate project☆26Updated 4 years ago
- Xiao's CUDA Optimization Guide [Active Adding New Contents]☆298Updated 2 years ago
- CSR5-based SpMV on CPUs, GPUs and Xeon Phi☆101Updated 11 months ago
- Source code of the IPDPS '21 paper: "TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs" by Yuyao Niu, Zhengyang…☆11Updated 2 years ago
- use ncclSend ncclRecv realize ncclSendrecv ncclGather ncclScatter ncclAlltoall☆8Updated 3 years ago
- ☆245Updated last week
- matrix multiplication in CUDA☆124Updated last year
- Mirror of http://gitlab.hpcrl.cse.ohio-state.edu/chong/ppopp19_ae, refactoring for understanding☆16Updated 3 years ago
- Fast Fourier Transform implementation, computable on CUDA platform. Seminar project for MI-PRC course at FIT CTU.☆38Updated 2 years ago
- CUDA-based implementation for linear 1D, 2D and 3D FFT-Shift functions.☆22Updated 9 years ago
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆355Updated 5 months ago
- ☆44Updated 4 years ago
- CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. …☆419Updated last year
- ☆112Updated last year
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆71Updated 4 years ago
- Examples from Programming in Parallel with CUDA☆149Updated 2 years ago
- Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial☆268Updated this week
- 2018 并行计算课程 repo☆32Updated 4 years ago
- ☆91Updated 8 years ago
- Case studies constitute a modern interdisciplinary and valuable teaching practice which plays a critical and fundamental role in the deve…☆13Updated 6 years ago
- Implementation and analysis of five different GPU based SPMV algorithms in CUDA☆40Updated 6 years ago
- Example code for Intel AVX / AVX2 intrinsics.☆138Updated last year
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆32Updated 4 years ago