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.
  ☆63Updated 2 weeks ago
• hclhkbu / gcoospdm
  Sparse-dense matrix-matrix multiplication on GPUs
  ☆14Updated 6 years ago
• rapidsai / nvgraph
  ☆32Updated 4 years ago
• dgSPARSE / dgSPARSE-Lib
  PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity
  ☆108Updated 3 weeks ago
• GPUPeople / spECK
  Efficient SpGEMM on GPU using CUDA and CSR
  ☆52Updated last year
• sheldonucr / GLU_public
  GLU - GLU-accelerated Sparse Parellel LU factorization solver V3.0
  ☆33Updated 4 years ago
• horizon-research / rtnn
  ☆64Updated last year
• sleeepyjack / warpcore
  A Library for fast Hash Tables on GPUs
  ☆115Updated 2 years ago
• owensgroup / SlabHash
  A warp-oriented dynamic hash table for GPUs
  ☆73Updated last year
• rafalk342 / bfs-cuda
  Implementation of breadth first search on GPU with CUDA Driver API.
  ☆49Updated 4 years ago
• r-barnes / pytorch_cmake_example
  ☆31Updated 3 years ago
• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆150Updated last year
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆262Updated 4 years ago
• CUDA-Tutorial / CodeSamples
  Code samples for the CUDA tutorial "CUDA and Applications to Task-based Programming"
  ☆88Updated last year
• dumerrill / merge-spmv
  ☆91Updated 8 years ago
• NVlabs / cub
  THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
  ☆84Updated last year
• oresths / tSparse
  A GPU algorithm for sparse matrix-matrix multiplication
  ☆70Updated 4 years ago
• codyjrivera / tsm2x-imp
  Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA
  ☆32Updated 4 years ago
• uiuc-arc / felix
  Optimize tensor program fast with Felix, a gradient descent autotuner.
  ☆25Updated 11 months ago
• ProjectPhysX / PTXprofiler
  A simple profiler to count Nvidia PTX assembly instructions of OpenCL/SYCL/CUDA kernels for roofline model analysis.
  ☆50Updated last month
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆130Updated 4 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
• tpn / cuda-samples
  ☆59Updated 2 years ago
• weifengliu-ssslab / Benchmark_SpGEMM_using_CSR
  CSR-based SpGEMM on nVidia and AMD GPUs
  ☆45Updated 9 years ago
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆135Updated 2 years ago
• ScottKolo / Mongoose
  Graph Coarsening and Partitioning Library
  ☆32Updated 5 years ago
• vulq / Flo
  Parallel network flows using OpenMP and CUDA.
  ☆28Updated 6 years ago
• pigirons / spmv
  This is a tuned sparse matrix dense vector multiplication(SpMV) library
  ☆21Updated 9 years ago
• patmjen / maxflow_algorithms
  A collection of min-cut/max-flow algorithms.
  ☆43Updated 3 years ago