raywan-110 / AdaQP
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training
☆23Updated last year
Alternatives and similar repositories for AdaQP:
Users that are interested in AdaQP 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 last year
- ☆23Updated last year
- ☆22Updated 2 years ago
- Compiler for Dynamic Neural Networks☆45Updated last year
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆65Updated 2 years ago
- ☆8Updated 2 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆27Updated 3 years ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆37Updated 8 months ago
- ☆31Updated 9 months ago
- A Factored System for Sample-based GNN Training over GPUs☆42Updated last year
- FGNN's artifact evaluation (EuroSys 2022)☆17Updated 2 years ago
- ☆27Updated 7 months ago
- ☆75Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆37Updated 4 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆46Updated last year
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆78Updated 3 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆32Updated 2 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆53Updated 7 months ago
- Artifacts for our SIGCOMM'22 paper Muri☆41Updated last year
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆93Updated 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
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆24Updated 3 years ago
- Analysis for the traces from byteprofile☆30Updated last year
- My paper/code reading notes in Chinese☆46Updated 10 months ago
- Supplemental materials for The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning☆23Updated 3 months ago
- ☆23Updated 2 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated last year
- ☆37Updated 3 years ago
- ☆47Updated 2 months ago