YukeWang96 / TC-GNN_ATC23Links
Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
☆52Updated 2 years ago
Alternatives and similar repositories for TC-GNN_ATC23
Users that are interested in TC-GNN_ATC23 are comparing it to the libraries listed below
Sorting:
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated last year
- ☆112Updated 4 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆91Updated 3 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆70Updated 2 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 years ago
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆56Updated last year
- ☆43Updated 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…☆59Updated 3 years ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆73Updated 5 years ago
- Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…☆46Updated last year
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- ☆32Updated 3 years ago
- ☆24Updated 2 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆31Updated 6 months ago
- ☆16Updated 3 years ago
- ☆50Updated 6 years ago
- PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization☆34Updated last year
- TileFlow is a performance analysis tool based on Timeloop for fusion dataflows☆66Updated last year
- ☆13Updated 3 years ago
- ☆32Updated 5 years ago
- FlashSparse significantly reduces the computation redundancy for unstructured sparsity (for SpMM and SDDMM) on Tensor Cores through a Swa…☆37Updated 3 months ago
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 4 years ago
- ☆11Updated 3 years ago
- Source code of the SC '23 paper: "DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multipli…☆27Updated last year
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆25Updated 2 years ago
- Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural N…☆31Updated 3 years ago
- ☆70Updated 4 years ago
- Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators☆120Updated 3 years ago
- ☆41Updated 7 months ago