HipGraph / FusedMM
Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks"
☆26Updated 2 years ago
Related projects: ⓘ
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆58Updated last year
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 2 years ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆70Updated 3 years ago
- ☆96Updated 3 years ago
- ☆71Updated 3 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆34Updated 6 months ago
- Distributed Multi-GPU GNN Framework☆35Updated 4 years ago
- Repo for the IISWC 2018 submission☆9Updated 2 years ago
- ☆42Updated 2 weeks ago
- Sparse kernels for GNNs based on TVM☆14Updated 3 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆23Updated 2 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆44Updated 11 months ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆63Updated last year
- New batched algorithm for sparse matrix-matrix multiplication (SpMM)☆15Updated 5 years ago
- PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Commun…☆45Updated last year
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated last year
- [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective☆17Updated last year
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 3 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆27Updated 2 years ago
- G3: A Programmable GNN Training System on GPU☆42Updated 4 years ago
- ☆17Updated 3 years ago
- ☆12Updated last year
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆23Updated last year
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆38Updated last year
- Source code of the SC '23 paper: "DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multipli…☆16Updated 3 months ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆51Updated 11 months ago
- ☆44Updated 2 years ago
- Graph Sampling using GPU☆50Updated 2 years ago
- ☆20Updated last year
- ☆23Updated 8 months ago