Alternatives and similar repositories for QGTC_PPoPP22

Users that are interested in QGTC_PPoPP22 are comparing it to the libraries listed below

• YukeWang96 / MGG_OSDI23
  Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…
  ☆41Updated last year
• hgyhungry / ge-spmm
  ☆109Updated 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
• YukeWang96 / TC-GNN_ATC23
  Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
  ☆49Updated last year
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆39Updated 3 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
• SuperScientificSoftwareLaboratory / DASP
  Source code of the SC '23 paper: "DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multipli…
  ☆26Updated last year
• HPMLL / DTC-SpMM_ASPLOS24
  ☆35Updated last year
• apuaaChen / vectorSparse
  ☆32Updated 3 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…
  ☆40Updated last year
• 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 2 years ago
• jiazhihao / ROC
  Distributed Multi-GPU GNN Framework
  ☆36Updated 5 years ago
• zhiqi-0 / PaGraph
  SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.
  ☆50Updated 2 years ago
• hgyhungry / ShflBW_Sparse_NN
  ☆16Updated 2 years ago
• parasailteam / coconet
  ☆82Updated 2 years ago
• c3sr / tcu_scope
  ☆50Updated 6 years ago
• CRAFT-THU / RoDe
  A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs
  ☆22Updated last year
• microsoft / ConvStencil
  ☆33Updated last year
• Raphael-Hao / brainstorm
  Compiler for Dynamic Neural Networks
  ☆46Updated last year
• pku-liang / MAGIS
  MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)
  ☆54Updated last year
• SJTU-IPADS / ugache
  ☆22Updated last year
• PAA-NCIC / GSWITCH
  A pattern-based algorithmic autotuner for graph processing on GPUs.
  ☆31Updated 2 months ago
• SNU-ARC / Ginex
  Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
  ☆38Updated last year
• zhaiyi000 / tlp
  ☆41Updated last year
• yuyangJin / PerFlow-AI
  PerFlow-AI is a programmable performance analysis, modeling, prediction tool for AI system.
  ☆23Updated last week
• codyjrivera / tsm2x-imp
  Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA
  ☆35Updated 5 years ago
• plasma-umass / NextDoor
  Graph Sampling using GPU
  ☆52Updated 3 years ago
• uchuhimo / amanda
  ☆18Updated last year
• owensgroup / merge-spmm
  Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018
  ☆73Updated 4 years ago
• mutinifni / splitwise-sim
  LLM serving cluster simulator
  ☆109Updated last year