Alternatives and similar repositories for maxflow-cuda

Users that are interested in maxflow-cuda are comparing it to the libraries listed below

• GPUPeople / ACSpGEMM
  Repository holding the code base to AC-SpGEMM : "Adaptive Sparse Matrix-Matrix Multiplication on the GPU"
  ☆28Updated 4 years ago
• owensgroup / BGHT
  BGHT: High-performance static GPU hash tables.
  ☆66Updated 2 months ago
• sleeepyjack / warpcore
  A Library for fast Hash Tables on GPUs
  ☆122Updated 2 years ago
• dgSPARSE / dgSPARSE-Lib
  PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity
  ☆110Updated last week
• hclhkbu / gcoospdm
  Sparse-dense matrix-matrix multiplication on GPUs
  ☆14Updated 6 years ago
• owensgroup / SlabHash
  A warp-oriented dynamic hash table for GPUs
  ☆73Updated last year
• horizon-research / rtnn
  ☆66Updated 2 years ago
• rapidsai / nvgraph
  ☆32Updated 4 years ago
• vulq / Flo
  Parallel network flows using OpenMP and CUDA.
  ☆28Updated 6 years ago
• CUDA-Tutorial / CodeSamples
  Code samples for the CUDA tutorial "CUDA and Applications to Task-based Programming"
  ☆89Updated last year
• GPUPeople / spECK
  Efficient SpGEMM on GPU using CUDA and CSR
  ☆56Updated last year
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆138Updated 2 years ago
• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆154Updated 2 years ago
• rafalk342 / bfs-cuda
  Implementation of breadth first search on GPU with CUDA Driver API.
  ☆50Updated 4 years ago
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆265Updated 4 years ago
• uiuc-arc / felix
  Optimize tensor program fast with Felix, a gradient descent autotuner.
  ☆28Updated 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
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆137Updated 4 years ago
• r-barnes / pytorch_cmake_example
  ☆32Updated 3 years ago
• uwsampl / dtr-prototype
  Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616
  ☆132Updated 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
• UDC-GAC / venom
  A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
  ☆51Updated last year
• hgyhungry / ge-spmm
  ☆107Updated 3 years ago
• csc-training / CUDA
  Introduction to CUDA programming
  ☆122Updated 8 years ago
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆183Updated 5 months ago
• nod-ai / SHARK-ModelDev
  Unified compiler/runtime for interfacing with PyTorch Dynamo.
  ☆100Updated last month
• dumerrill / merge-spmv
  ☆91Updated 8 years ago
• oresths / tSparse
  A GPU algorithm for sparse matrix-matrix multiplication
  ☆71Updated 4 years ago
• roastduck / FreeTensor
  A language and compiler for irregular tensor programs.
  ☆142Updated 6 months ago
• mattdean1 / cuda
  An implementation of parallel exclusive scan in CUDA
  ☆62Updated 7 years ago