YukeWang96 / TC-GNN_ATC23
Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
☆45Updated last year
Alternatives and similar repositories for TC-GNN_ATC23:
Users that are interested in TC-GNN_ATC23 are comparing it to the libraries listed below
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆39Updated 11 months ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆27Updated 3 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆64Updated last year
- ☆27Updated 8 months ago
- A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs☆17Updated 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
- ☆32Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 4 years ago
- ☆105Updated 3 years ago
- ☆27Updated 6 months ago
- Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…☆38Updated 8 months ago
- Source code of the SC '23 paper: "DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multipli…☆25Updated 8 months ago
- ☆14Updated 2 years ago
- ☆8Updated 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
- ☆30Updated 8 months ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆85Updated 2 years ago
- Mirror of http://gitlab.hpcrl.cse.ohio-state.edu/chong/ppopp19_ae, refactoring for understanding☆14Updated 3 years ago
- ☆11Updated 2 years ago
- ☆25Updated 10 months ago
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆50Updated 8 months ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆31Updated last year
- Workload-Aware Co-Optimization☆8Updated 2 years ago
- SC'22 Artifacts Evaluation☆9Updated 2 years ago
- A Factored System for Sample-based GNN Training over GPUs☆42Updated last year
- ☆45Updated 2 years ago
- ☆9Updated 2 years ago
- PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization☆28Updated last year
- ☆21Updated 2 months ago