Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
☆43Jul 10, 2024Updated 2 years ago
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 3 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 3 years ago
- ☆43Jun 13, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Large scale graph learning on a single machine.☆167Feb 25, 2025Updated last year
- Artifacts of VLDB'22 paper "COMET: A Novel Memory-Efficient Deep Learning TrainingFramework by Using Error-Bounded Lossy Compression"☆10Aug 2, 2022Updated 3 years ago
- A list of awesome GNN systems.☆348Updated this week
- ☆29Aug 14, 2024Updated last year
- ☆26Dec 4, 2020Updated 5 years ago
- ☆41Nov 28, 2022Updated 3 years ago
- Open source code of BGL NSDI 2023☆17Apr 27, 2026Updated 2 months ago
- CAM: Asynchronous GPU-Initiated, CPU-Managed SSD Management for Batching Storage Access [ICDE'25]☆19Mar 3, 2025Updated last year
- PolyBench/Python is the reimplementation of PolyBench in the Python programming language. It is a benchmark suite of 30 numerical computa…☆10Feb 23, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 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
- Accepted paper of SIGMOD 2023, DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU☆16Dec 15, 2023Updated 2 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.☆304Aug 17, 2023Updated 2 years ago
- ☆17Jun 25, 2024Updated 2 years ago
- Efficient-Tensor-Management-on-HM-for-Deep-Learning☆11Nov 15, 2021Updated 4 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆71Mar 2, 2023Updated 3 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆42Nov 16, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Graph accelerator on FPGAs and ASICs☆11Aug 16, 2018Updated 7 years ago
- ☆28Nov 29, 2024Updated last year
- ☆23Jun 21, 2023Updated 3 years ago
- A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search☆21Jul 22, 2025Updated last year
- ☆15Sep 25, 2025Updated 10 months ago
- The design and algorithms used in LeCaR are described in this USENIX HotStorage'18 paper and talk slides: https://www.usenix.org/conferen…☆29Jun 4, 2020Updated 6 years ago
- C++17 implementation of einops for libtorch - clear and reliable tensor manipulations with einstein-like notation☆12Oct 16, 2023Updated 2 years ago
- ☆12Mar 26, 2024Updated 2 years ago
- A general-purpose, distributed graph random walk engine.☆110Aug 5, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [HPCA'24] Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System☆52Jul 21, 2025Updated last year
- ☆235Mar 28, 2026Updated 3 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
- A reading list for deep graph learning acceleration.☆253Jul 26, 2025Updated last year
- [VLDB'22] Cardinality Estimation of Approximate Substring Queries using Deep Learning.☆10Jul 18, 2025Updated last year
- A Factored System for Sample-based GNN Training over GPUs☆46Jul 26, 2023Updated 2 years ago
- Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training☆24Mar 1, 2024Updated 2 years ago