Alternatives and similar repositories for FusedMM

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

• hgyhungry / ge-spmm
  ☆111Updated 4 years ago
• owensgroup / merge-spmm
  Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018
  ☆73Updated 5 years ago
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆40Updated 3 years ago
• xiezhq-hermann / graphiler
  Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…
  ☆59Updated 3 years ago
• amazon-science / FeatGraph
  ☆70Updated 4 years ago
• YukeWang96 / GNNAdvisor_OSDI21
  Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
  ☆66Updated 2 years ago
• dglai / FeatGraph
  Sparse kernels for GNNs based on TVM
  ☆17Updated 4 years ago
• YukeWang96 / TC-GNN_ATC23
  Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
  ☆50Updated 2 years ago
• PASSIONLab / CAGNET
  ☆47Updated 6 months ago
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 5 years ago
• YukeWang96 / MGG_OSDI23
  Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…
  ☆40Updated last year
• zjjzby / GNN-hardware-acceleration-paper
  This repo is to collect the state-of-the-art GNN hardware acceleration paper
  ☆54Updated 4 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
• concept-inversion / C-SAW
  A Framework for Graph Sampling and Random Walk on GPUs.
  ☆38Updated 8 months ago
• araij / rabbit_order
  ☆47Updated 3 years ago
• K-Wu / pytorch-direct_dgl
  Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)
  ☆44Updated 2 years ago
• YukeWang96 / QGTC_PPoPP22
  Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.
  ☆30Updated 3 years ago
• dgSPARSE / dgNN
  [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective
  ☆22Updated 2 years ago
• Xtra-Computing / G3
  G3: A Programmable GNN Training System on GPU
  ☆43Updated 5 years ago
• CMU-SAFARI / SparseP
  SparseP is the first open-source Sparse Matrix Vector Multiplication (SpMV) software package for real-world Processing-In-Memory (PIM) ar…
  ☆77Updated 3 years ago
• GATECH-EIC / BNS-GCN
  [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …
  ☆56Updated 2 years ago
• YusukeNagasaka / Batched-SpMM
  New batched algorithm for sparse matrix-matrix multiplication (SpMM)
  ☆16Updated 6 years ago
• PAA-NCIC / GSWITCH
  A pattern-based algorithmic autotuner for graph processing on GPUs.
  ☆31Updated 4 months ago
• GATECH-EIC / GCoD
  [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆36Updated 3 years ago
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆52Updated 3 years ago
• escalab / SIMD2
  ☆31Updated 3 years ago
• MITIBMxGraph / SALIENT
  The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…
  ☆40Updated 2 years ago
• MITIBMxGraph / SALIENT_artifact
  Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"
  ☆23Updated 3 years ago
• PASSIONLab / distributed_sddmm
  Distributed SDDMM Kernel
  ☆11Updated 3 years ago
• weiya711 / sam
  ☆18Updated last week