dglai / FeatGraphLinks
Sparse kernels for GNNs based on TVM
☆17Updated 4 years ago
Alternatives and similar repositories for FeatGraph
Users that are interested in FeatGraph are comparing it to the libraries listed below
Sorting:
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆60Updated 2 years ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆72Updated 4 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆48Updated last year
- ☆70Updated 4 years ago
- ☆109Updated 4 years ago
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆24Updated 4 years ago
- ☆23Updated 2 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆66Updated 2 years ago
- ☆18Updated last month
- Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural N…☆31Updated 2 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆40Updated last year
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆31Updated 2 weeks ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- ☆15Updated 2 years ago
- A GPU algorithm for sparse matrix-matrix multiplication☆71Updated 4 years ago
- Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)☆15Updated 4 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 4 years ago
- Repo for the IISWC 2018 submission☆9Updated 3 years ago
- ☆13Updated 3 years ago
- ☆31Updated 3 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆89Updated 2 years ago
- SparseP is the first open-source Sparse Matrix Vector Multiplication (SpMV) software package for real-world Processing-In-Memory (PIM) ar…☆76Updated 3 years ago
- Code base for OOPSLA'24 paper: UniSparse: An Intermediate Language for General Sparse Format Customization☆30Updated 8 months ago
- ☆46Updated 2 years ago
- ☆51Updated 6 years ago
- A unified programming framework for high and portable performance across FPGAs and GPUs☆11Updated 3 months ago
- ☆47Updated 3 months ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 years ago
- agile hardware-software co-design☆50Updated 3 years ago