dgSPARSE / dgNN
[Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective
☆18Updated last year
Alternatives and similar repositories for dgNN:
Users that are interested in dgNN 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…☆38Updated 11 months ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆27Updated 3 years ago
- ☆9Updated 2 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆45Updated last year
- ☆104Updated 3 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural N…☆30Updated 2 years ago
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆35Updated 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 for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆64Updated last year
- ☆28Updated 8 months ago
- ☆73Updated 3 years ago
- The official code for DATE'23 paper <CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory>☆20Updated this week
- Accelerating Recommender model training by leveraging popular choices -- VLDB 2022☆30Updated 5 months ago
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching☆36Updated 7 months ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆31Updated last year
- PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity☆103Updated 2 weeks 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
- Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"☆24Updated 2 years ago
- Workload-Aware Co-Optimization☆8Updated 2 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 4 years ago
- A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs☆17Updated last year
- Repo for the IISWC 2018 submission☆9Updated 2 years ago
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 3 years ago
- ☆21Updated 2 months ago
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆24Updated last year
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆85Updated 2 years ago
- Set of datasets for the deep learning recommendation model (DLRM).☆41Updated 2 years ago
- ☆32Updated 2 years ago