Alternatives and similar repositories for TileSpMV:

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

• CRAFT-THU / RoDe
  A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs
  ☆20Updated last year
• AnonymousRepo123 / AlphaSparse
  A intelligent matrix format designer for SpMV
  ☆10Updated last year
• SuperScientificSoftwareLaboratory / DASP
  Source code of the SC '23 paper: "DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multipli…
  ☆26Updated 10 months ago
• SuperScientificSoftwareLaboratory / TileSpGEMM
  Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…
  ☆39Updated 11 months ago
• apuaaChen / vectorSparse
  ☆31Updated 2 years ago
• cslab-ntua / SpMV-Research
  ☆13Updated last week
• weifengliu-ssslab / Benchmark_SpGEMM_using_CSR
  CSR-based SpGEMM on nVidia and AMD GPUs
  ☆45Updated 9 years ago
• LucasWilkinson / ASpT-mirror
  Mirror of http://gitlab.hpcrl.cse.ohio-state.edu/chong/ppopp19_ae, refactoring for understanding
  ☆15Updated 3 years ago
• HPMLL / DTC-SpMM_ASPLOS24
  ☆29Updated 10 months ago
• PASSIONLab / MaskedSpGEMM
  ☆9Updated 2 years ago
• poojahira / spmv-cuda
  Implementation and analysis of five different GPU based SPMV algorithms in CUDA
  ☆39Updated 6 years ago
• microsoft / ConvStencil
  ☆26Updated 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
• GPUPeople / spECK
  Efficient SpGEMM on GPU using CUDA and CSR
  ☆52Updated last year
• ParCIS / Magicube
  Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
  ☆86Updated 2 years ago
• c3sr / tcu_scope
  ☆50Updated 5 years ago
• YukeWang96 / QGTC_PPoPP22
  Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.
  ☆27Updated 3 years ago
• NMSU-PEARL / PPT-GPU
  Performance Prediction Toolkit for GPUs
  ☆37Updated 3 years ago
• nulidangxueshen / CSR2
  A New Format for SIMD-accelerated SpMV
  ☆21Updated 3 years ago
• nulidangxueshen / ALBUS
  A Method for efficiently processing SpMV using SIMD and load balancing
  ☆16Updated 3 years ago
• weifengliu-ssslab / Benchmark_SpMV_using_CSR5
  CSR5-based SpMV on CPUs, GPUs and Xeon Phi
  ☆102Updated 10 months ago
• PAA-NCIC / GSWITCH
  A pattern-based algorithmic autotuner for graph processing on GPUs.
  ☆30Updated 4 months ago
• AlphaSparse / Library
  A sparse BLAS lib supporting multiple backends
  ☆43Updated 2 months ago
• chenxuhao / caffe-escoin
  Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs
  ☆16Updated 6 years ago
• owensgroup / merge-spmm
  Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018
  ☆71Updated 4 years ago
• monkey2000 / spv8-public
  SpV8 is a SpMV kernel written in AVX-512. Artifact for our SpV8 paper @ DAC '21.
  ☆29Updated 4 years ago
• sjfeng1999 / gpu-arch-microbenchmark
  Dissecting NVIDIA GPU Architecture
  ☆91Updated 2 years ago
• temporal-hpc / reduction-tensor-cores
  Fast GPU based tensor core reductions
  ☆13Updated 2 years ago
• hpcde / spmv-acc
  HIP acceleration of SpMV solver
  ☆10Updated last week
• UniHD-CEG / cuda-flux
  CUDA Flux is a profiler for GPU applications which reports the basic block executions frequencies of compute kernels
  ☆32Updated 4 years ago