amazon-science / FeatGraph
☆71Updated 3 years ago
Alternatives and similar repositories for FeatGraph:
Users that are interested in FeatGraph are comparing it to the libraries listed below
- 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
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- 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
- ☆106Updated 3 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆40Updated last year
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Updated last year
- 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
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆71Updated 4 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆39Updated 3 months ago
- Distributed Multi-GPU GNN Framework☆37Updated 4 years ago
- ☆46Updated 2 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆47Updated last year
- ☆22Updated 2 years ago
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆25Updated 3 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆121Updated 2 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆66Updated 2 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆27Updated 3 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆135Updated 2 years ago
- Sparse kernels for GNNs based on TVM☆16Updated 4 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆39Updated 9 months ago
- ☆45Updated 3 weeks ago
- PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity☆108Updated last month
- ☆23Updated 5 months ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated last year
- ☆18Updated 4 years ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆25Updated 2 months ago
- G3: A Programmable GNN Training System on GPU☆43Updated 4 years ago
- WholeGraph - large scale Graph Neural Networks☆105Updated 5 months ago
- Artifacts of EVT ASPLOS'24☆24Updated last year