BUAA-CI-LAB / Literatures-on-GNN-Acceleration
A reading list for deep graph learning acceleration.
☆236Updated 2 weeks ago
Alternatives and similar repositories for Literatures-on-GNN-Acceleration:
Users that are interested in Literatures-on-GNN-Acceleration are comparing it to the libraries listed below
- A list of awesome GNN systems.☆300Updated this week
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆64Updated last year
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated last year
- ☆9Updated 2 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆31Updated last year
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 3 years ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆53Updated last year
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆35Updated 2 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆36Updated 7 months ago
- ☆46Updated 2 years ago
- Papers on Graph Analytics, Mining, and Learning☆123Updated 2 years ago
- ☆43Updated 3 weeks ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆38Updated last year
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective☆18Updated last year
- 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
- ☆27Updated 6 months ago
- ☆105Updated 3 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 4 years ago
- ☆11Updated 2 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆45Updated last year
- ☆10Updated 3 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆27Updated 3 years ago
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks☆35Updated last year
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆39Updated 11 months ago
- ☆36Updated 8 months ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆79Updated 2 months ago
- A dataflow architecture for universal graph neural network inference via multi-queue streaming.☆70Updated 2 years ago
- A graph pattern mining framework for large graphs on gpu.☆12Updated 2 months ago
- HLSyn benchmark for paper "Towards a Comprehensive Benchmark for FPGA Targeted High-Level Synthesis"☆26Updated last year