The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining".
☆40Jun 28, 2023Updated 3 years ago
Alternatives and similar repositories for SALIENT
Users that are interested in SALIENT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆42Nov 16, 2021Updated 4 years ago
- Source for the OpenCilk runtime system, based on Cheetah.☆23Sep 5, 2026Updated 2 weeks ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Oct 3, 2022Updated 3 years ago
- ☆16Apr 10, 2024Updated 2 years ago
- ☆47Sep 5, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆51May 23, 2023Updated 3 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆71Mar 2, 2023Updated 3 years ago
- ☆16Feb 20, 2024Updated 2 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆90Jun 16, 2025Updated last year
- ☆29Aug 14, 2024Updated 2 years ago
- ☆10Aug 13, 2021Updated 5 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
- A list of awesome GNN systems.☆351Updated this week
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆305Aug 17, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Distributed Multi-GPU GNN Framework☆36Jun 26, 2020Updated 6 years ago
- ☆33Oct 28, 2020Updated 5 years ago
- Large scale graph learning on a single machine.☆170Feb 25, 2025Updated last year
- ☆218Dec 25, 2023Updated 2 years ago
- ☆12Dec 17, 2023Updated 2 years ago
- GARDENIA: Graph Analytics Repository for Designing Efficient Next-generation Accelerators☆34Apr 3, 2022Updated 4 years ago
- Graph Sampling using GPU☆52Mar 17, 2022Updated 4 years ago
- A study of performance of optimal transport.☆10Jul 4, 2020Updated 6 years ago
- A copy of the Intel Cilk Plus runtime system with modifications to work with OpenCilk and its associated tools.☆12Jan 20, 2021Updated 5 years ago
- 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.
- [MLSys 2023] Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models☆16May 5, 2023Updated 3 years ago
- A distributed GPU-centric experience replay system for large AI models.☆19Aug 1, 2023Updated 3 years ago
- [AAAI'23] FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction https://arxiv.org/abs/2304.00902☆11Apr 9, 2023Updated 3 years ago
- A benchmark suite for Graph Machine Learning☆18Oct 8, 2024Updated last year
- Clustered Compositional Embeddings☆13Oct 25, 2023Updated 2 years ago
- Pannotia v0.9 is a suite of OpenCL graph applications☆25Sep 13, 2017Updated 9 years ago
- official code for I2GNN.☆14Apr 24, 2023Updated 3 years ago
- ☆11May 27, 2021Updated 5 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
- AI Agents on 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.
- A benchmarking suite for heterogeneous systems. The primary goal of this project is to improve and update aspects of existing benchmarkin…☆44Jan 30, 2026Updated 7 months ago
- A Dataflow library for graph analytics acceleration☆14Dec 15, 2015Updated 10 years ago
- Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.☆33May 20, 2017Updated 9 years ago
- Source code of "ThunderRW: An In-Memory Graph Random Walk Engine" published in VLDB'2021 - By Shixuan Sun, Yuhang Chen, Shengliang Lu, Bi…☆28Aug 15, 2021Updated 5 years ago
- Accelerating Recommender model training by leveraging popular choices -- VLDB 2022☆30Sep 15, 2024Updated 2 years ago
- A Comprehensive Benchmark Suite for Graph Computing☆71Feb 20, 2019Updated 7 years ago
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Jul 1, 2023Updated 3 years ago