Alternatives and similar repositories for spECK

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

• weifengliu-ssslab / Benchmark_SpGEMM_using_CSR
  CSR-based SpGEMM on nVidia and AMD GPUs
  ☆46Updated 9 years ago
• poojahira / spmv-cuda
  Implementation and analysis of five different GPU based SPMV algorithms in CUDA
  ☆40Updated 6 years ago
• AlphaSparse / Library
  A sparse BLAS lib supporting multiple backends
  ☆49Updated last month
• owensgroup / merge-spmm
  Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018
  ☆73Updated 5 years ago
• dumerrill / merge-spmv
  ☆97Updated 8 years 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…
  ☆46Updated last year
• weifengliu-ssslab / Benchmark_SpMV_using_CSR5
  CSR5-based SpMV on CPUs, GPUs and Xeon Phi
  ☆108Updated last year
• oresths / tSparse
  A GPU algorithm for sparse matrix-matrix multiplication
  ☆74Updated 5 years ago
• GPUPeople / ACSpGEMM
  Repository holding the code base to AC-SpGEMM : "Adaptive Sparse Matrix-Matrix Multiplication on the GPU"
  ☆31Updated 5 years ago
• gunrock / loops
  🎃 GPU load-balancing library for regular and irregular computations.
  ☆64Updated 4 months ago
• codyjrivera / tsm2x-imp
  Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA
  ☆35Updated 5 years ago
• vtsynergy / bb_segsort
  ☆19Updated 2 years ago
• HAWAIILAB / cuda-flux
  CUDA Flux is a profiler for GPU applications which reports the basic block executions frequencies of compute kernels
  ☆32Updated 4 years ago
• hgyhungry / ge-spmm
  ☆112Updated 4 years ago
• microsoft / ConvStencil
  ☆34Updated last year
• EBD-CREST / nsparse
  Sparse matrix computation library for GPU
  ☆59Updated 5 years ago
• cslab-ntua / SpMV-Research
  ☆23Updated 2 months ago
• ParCIS / Magicube
  Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
  ☆90Updated 3 years ago
• SuperScientificSoftwareLaboratory / TileSpMV
  Source code of the IPDPS '21 paper: "TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs" by Yuyao Niu, Zhengyang…
  ☆12Updated 3 years ago
• sjfeng1999 / gpu-arch-microbenchmark
  Dissecting NVIDIA GPU Architecture
  ☆116Updated 3 years ago
• c3sr / tcu_scope
  ☆50Updated 6 years ago
• apuaaChen / vectorSparse
  ☆32Updated 3 years ago
• spcl / open-earth-compiler
  development repository for the open earth compiler
  ☆81Updated 4 years ago
• chenxuhao / caffe-escoin
  Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs
  ☆16Updated 6 years ago
• xmartlabs / cuda-calculator
  Online CUDA Occupancy Calculator
  ☆81Updated 4 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
• Jokeren / GPA
  GPU Performance Advisor
  ☆65Updated 3 years ago
• uuudown / Tartan
  Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite
  ☆68Updated 7 years ago
• SuperScientificSoftwareLaboratory / PanguLU
  PanguLU: A Scalable Regular Two-Dimensional Block-Cyclic Sparse Direct Solver on Distributed Heterogeneous Systems
  ☆44Updated 5 months ago
• owensgroup / BGHT
  BGHT: High-performance static GPU hash tables.
  ☆71Updated 6 months ago