Alternatives and similar repositories for WholeGraph:

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

• amazon-science / FeatGraph
  ☆71Updated 3 years ago
• K-Wu / pytorch-direct_dgl
  PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Commun…
  ☆44Updated last year
• dglai / minigun
  Light-weight GPU kernel interface for graph operations
  ☆15Updated 4 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…
  ☆61Updated 2 years ago
• jiazhihao / attention_superoptimizer
  An Attention Superoptimizer
  ☆21Updated 3 months ago
• exists-forall / striped_attention
  ☆38Updated last year
• facebookresearch / dlrm_datasets
  Set of datasets for the deep learning recommendation model (DLRM).
  ☆45Updated 2 years ago
• HipGraph / FusedMM
  Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural N…
  ☆30Updated 2 years ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆64Updated last year
• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆56Updated 3 years ago
• rapidsai / wholegraph
  WholeGraph - large scale Graph Neural Networks
  ☆105Updated 5 months ago
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆39Updated 3 years ago
• MortezaRamezani / lazygcn
  LazyGCN
  ☆9Updated 4 years ago
• camlsys / degree-quant
  ICLR 2021
  ☆48Updated 4 years ago
• PASSIONLab / CAGNET
  ☆45Updated 2 weeks ago
• DerrickYLJ / TidalDecode
  [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
  ☆35Updated last week
• hgyhungry / ge-spmm
  ☆106Updated 3 years ago
• Aleph-Alpha / NeurIPS-WANT-submission-efficient-parallelization-layouts
  ☆22Updated last year
• STAR-Laboratory / Accelerating-RecSys-Training
  Accelerating Recommender model training by leveraging popular choices -- VLDB 2022
  ☆30Updated 7 months ago
• mlcommons / training_results_v1.0
  This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.
  ☆38Updated last year
• Harry-Chen / InfMoE
  Inference framework for MoE layers based on TensorRT with Python binding
  ☆41Updated 3 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
• xptree / LightNE
  ☆24Updated 2 years ago
• jasperzhong / GNNFlow
  Distributed Deep Graph Learning Framework for Dynamic Graphs
  ☆12Updated last year
• msr-fiddle / harmony
  ☆16Updated 2 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 last year
• IllinoisGraphBenchmark / IGB-Datasets
  Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…
  ☆82Updated 4 months ago
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆135Updated 2 years ago
• cornell-zhang / GraphZoom
  GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
  ☆114Updated 2 years ago
• Hsword / Hetu
  A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …
  ☆110Updated last year