YukeWang96 / TC-GNN_ATC23
Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
☆46Updated 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…☆41Updated 11 months ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆27Updated 3 years ago
- ☆28Updated 8 months ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆65Updated 2 years ago
- ☆106Updated 3 years ago
- A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs☆18Updated last year
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆49Updated 9 months ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- ☆9Updated 3 years ago
- Distributed Multi-GPU GNN Framework☆37Updated 4 years ago
- PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization☆27Updated last year
- ☆32Updated 2 years ago
- 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
- [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective☆18Updated last year
- ☆25Updated 11 months ago
- Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…☆39Updated 9 months ago
- ☆31Updated 9 months ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆37Updated 8 months ago
- TileFlow is a performance analysis tool based on Timeloop for fusion dataflows☆58Updated 11 months ago
- ☆11Updated 2 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆31Updated last year
- ☆14Updated 2 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆86Updated 2 years ago
- Workload-Aware Co-Optimization☆8Updated 2 years ago
- The official code for DATE'23 paper <CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory>☆20Updated 3 weeks ago
- ☆8Updated 2 years 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
- ☆22Updated last year
- Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training☆23Updated last year