Alternatives and similar repositories for tcFFT

Users that are interested in tcFFT are comparing it to the libraries listed below

• wmmae / wmma_extension
  An extension library of WMMA API (Tensor Core API)
  ☆99Updated last year
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆138Updated 4 years ago
• sunlex0717 / DissectingTensorCores
  ☆106Updated last year
• sjfeng1999 / gpu-arch-microbenchmark
  Dissecting NVIDIA GPU Architecture
  ☆103Updated 3 years ago
• GPUPeople / spECK
  Efficient SpGEMM on GPU using CUDA and CSR
  ☆57Updated 2 years ago
• daadaada / turingas
  Assembler for NVIDIA Volta and Turing GPUs
  ☆226Updated 3 years ago
• RRZE-HPC / gpu-benches
  collection of benchmarks to measure basic GPU capabilities
  ☆401Updated 5 months ago
• ROCm / amd_matrix_instruction_calculator
  A tool for generating information about the matrix multiplication instructions in AMD Radeon™ and AMD Instinct™ accelerators
  ☆110Updated 2 months ago
• FZJ-JSC / tutorial-multi-gpu
  Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial
  ☆287Updated last month
• apuaaChen / vectorSparse
  ☆32Updated 2 years ago
• dumerrill / merge-spmv
  ☆94Updated 8 years ago
• yzhaiustc / Optimizing-DGEMM-on-Intel-CPUs-with-AVX512F
  Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually, even under multithreading.
  ☆151Updated 3 years ago
• c3sr / tcu_scope
  ☆51Updated 6 years ago
• poojahira / spmv-cuda
  Implementation and analysis of five different GPU based SPMV algorithms in CUDA
  ☆41Updated 6 years ago
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆363Updated 3 years ago
• SuperScientificSoftwareLaboratory / PanguLU
  PanguLU: A Scalable Regular Two-Dimensional Block-Cyclic Sparse Direct Solver on Distributed Heterogeneous Systems
  ☆39Updated last week
• lixiuhong / batched_gemm
  ☆39Updated 5 years ago
• gunrock / loops
  🎃 GPU load-balancing library for regular and irregular computations.
  ☆62Updated last year
• owensgroup / merge-spmm
  Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018
  ☆72Updated 4 years ago
• codyjrivera / tsm2x-imp
  Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA
  ☆35Updated 5 years ago
• weifengliu-ssslab / Benchmark_SpGEMM_using_CSR
  CSR-based SpGEMM on nVidia and AMD GPUs
  ☆46Updated 9 years ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆213Updated last year
• SuperScientificSoftwareLaboratory / TileSpGEMM
  Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…
  ☆40Updated last year
• ParCIS / Magicube
  Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
  ☆89Updated 2 years ago
• spcl / smat
  Code for High Performance Unstructured SpMM Computation Using Tensor Cores
  ☆27Updated 9 months ago
• mark-poscablo / gpu-sum-reduction
  CUDA implementation of the fundamental sum reduce operation. Aims to be as optimized as reasonable.
  ☆37Updated 8 years ago
• olcf / NVIDIA-tensor-core-examples
  ☆18Updated 5 years ago
• ROCm / rocWMMA
  rocWMMA
  ☆121Updated this week
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆270Updated 4 years ago
• intel / xetla
  ☆62Updated 7 months ago