Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
☆41Jul 10, 2024Updated last year
Alternatives and similar repositories for Ginex
Users that are interested in Ginex are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51May 23, 2023Updated 2 years ago
- ☆47Sep 5, 2022Updated 3 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆34Mar 15, 2023Updated 3 years ago
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Jul 1, 2023Updated 2 years ago
- ☆42Jun 13, 2025Updated 9 months ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Large scale graph learning on a single machine.☆167Feb 25, 2025Updated last year
- A list of awesome GNN systems.☆337Updated this week
- ☆28Aug 14, 2024Updated last year
- ☆40Nov 28, 2022Updated 3 years ago
- Open source code of BGL NSDI 2023☆18Jul 24, 2023Updated 2 years ago
- Accepted paper of SIGMOD 2023, DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU☆15Dec 15, 2023Updated 2 years ago
- RPCNIC: A High-Performance and Reconfigurable PCIe-attached RPC Accelerator [HPCA2025]☆14Dec 9, 2024Updated last year
- Accelerating Deep Learning Training Through Transparent Storage Tiering (CCGrid'22)☆19Dec 13, 2022Updated 3 years ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Oct 6, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Efficient-Tensor-Management-on-HM-for-Deep-Learning☆10Nov 15, 2021Updated 4 years ago
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆36Mar 1, 2023Updated 3 years ago
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆302Aug 17, 2023Updated 2 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆70Mar 2, 2023Updated 3 years ago
- CAM: Asynchronous GPU-Initiated, CPU-Managed SSD Management for Batching Storage Access [ICDE'25]☆18Mar 3, 2025Updated last year
- ☆28Nov 29, 2024Updated last year
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆41Nov 16, 2021Updated 4 years ago
- Graph accelerator on FPGAs and ASICs☆11Aug 16, 2018Updated 7 years ago
- ☆23Jun 21, 2023Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- C++17 implementation of einops for libtorch - clear and reliable tensor manipulations with einstein-like notation☆11Oct 16, 2023Updated 2 years ago
- The design and algorithms used in LeCaR are described in this USENIX HotStorage'18 paper and talk slides: https://www.usenix.org/conferen…☆28Jun 4, 2020Updated 5 years ago
- ☆12Mar 26, 2024Updated 2 years ago
- A general-purpose, distributed graph random walk engine.☆110Aug 5, 2023Updated 2 years ago
- ☆216Nov 23, 2025Updated 4 months ago
- [PACT'24] GraNNDis. A fast and unified distributed graph neural network (GNN) training framework for both full-batch (full-graph) and min…☆10Aug 13, 2024Updated last year
- [HPCA'24] Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System☆53Jul 21, 2025Updated 8 months ago
- A reading list for deep graph learning acceleration.☆254Jul 26, 2025Updated 8 months ago
- A Factored System for Sample-based GNN Training over GPUs☆46Jul 26, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆10Apr 24, 2023Updated 2 years ago
- [DATE 2023] Pipe-BD: Pipelined Parallel Blockwise Distillation☆12Jul 13, 2023Updated 2 years ago
- Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training☆24Mar 1, 2024Updated 2 years ago
- ☆12Feb 16, 2023Updated 3 years ago
- Papers on Graph Analytics, Mining, and Learning☆128Aug 15, 2022Updated 3 years ago
- ☆38Jan 15, 2021Updated 5 years ago
- A Vector Caching Scheme for Streaming FPGA SpMV Accelerators☆10Sep 7, 2015Updated 10 years ago