Alternatives and similar repositories for OpSparse

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

• SuperScientificSoftwareLaboratory / TileSpMV
  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
• SuperScientificSoftwareLaboratory / DASP
  Source code of the SC '23 paper: "DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multipli…
  ☆27Updated last year
• cslab-ntua / SpMV-Research
  ☆15Updated last week
• HPMLL / DTC-SpMM_ASPLOS24
  ☆31Updated last year
• CRAFT-THU / RoDe
  A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs
  ☆22Updated 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
• GPUPeople / spECK
  Efficient SpGEMM on GPU using CUDA and CSR
  ☆56Updated last year
• apuaaChen / vectorSparse
  ☆31Updated 2 years ago
• 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
• weifengliu-ssslab / Benchmark_SpGEMM_using_CSR
  CSR-based SpGEMM on nVidia and AMD GPUs
  ☆46Updated 9 years ago
• LucasWilkinson / ASpT-mirror
  Mirror of http://gitlab.hpcrl.cse.ohio-state.edu/chong/ppopp19_ae, refactoring for understanding
  ☆16Updated 3 years ago
• microsoft / ConvStencil
  ☆30Updated 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
• AnonymousRepo123 / AlphaSparse
  A intelligent matrix format designer for SpMV
  ☆10Updated last year
• poojahira / spmv-cuda
  Implementation and analysis of five different GPU based SPMV algorithms in CUDA
  ☆40Updated 6 years ago
• PAA-NCIC / GSWITCH
  A pattern-based algorithmic autotuner for graph processing on GPUs.
  ☆31Updated this week
• weifengliu-ssslab / Benchmark_SpMV_using_CSR5
  CSR5-based SpMV on CPUs, GPUs and Xeon Phi
  ☆104Updated last year
• YukeWang96 / QGTC_PPoPP22
  Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.
  ☆29Updated 3 years ago
• vtsynergy / bb_segsort
  ☆18Updated last year
• codyjrivera / tsm2x-imp
  Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA
  ☆32Updated 4 years ago
• NMSU-PEARL / PPT-GPU
  Performance Prediction Toolkit for GPUs
  ☆37Updated 3 years ago
• c3sr / tcu_scope
  ☆51Updated 6 years ago
• owensgroup / ATOS
  Multi-GPU dynamic scheduler using PGAS style cross-GPU communication
  ☆27Updated last year
• nullplay / Workload-Aware-Co-Optimization
  Workload-Aware Co-Optimization
  ☆8Updated 2 years ago
• monkey2000 / spv8-public
  SpV8 is a SpMV kernel written in AVX-512. Artifact for our SpV8 paper @ DAC '21.
  ☆28Updated 4 years ago
• wpybtw / Skywalker
  ☆10Updated last year
• notini / csr-formatter
  C++ package to store Matrix Market (.mtx) file format sparse matrices in Compressed Row Storage (CSR) format.
  ☆14Updated 5 years ago
• dumerrill / merge-spmv
  ☆91Updated 8 years ago
• oresths / tSparse
  A GPU algorithm for sparse matrix-matrix multiplication
  ☆71Updated 4 years ago
• sunlex0717 / DissectingTensorCores
  ☆98Updated last year