[ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining
☆12Dec 4, 2023Updated 2 years ago
Alternatives and similar repositories for dear_pytorch
Users that are interested in dear_pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Jul 23, 2024Updated last year
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Sep 21, 2023Updated 2 years ago
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆36Mar 1, 2023Updated 3 years ago
- Pytorch distributed backend extension with compression support☆17Mar 24, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Official code repository for the paper: AbsPyramid: Benchmarking the Abstration Ability of Language Models with a Unified Entailment Grap…☆13Oct 30, 2024Updated last year
- ☆52Apr 30, 2025Updated 10 months ago
- A computation-parallel deep learning architecture.☆13Sep 25, 2019Updated 6 years ago
- ☆69Mar 14, 2023Updated 3 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Jul 6, 2020Updated 5 years ago
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆14Feb 2, 2020Updated 6 years ago
- This is the Group-Meeting collections of HKUST System NetworkING (SING) Research Group.☆27Oct 3, 2019Updated 6 years ago
- High performance NCCL plugin for Bagua.☆15Sep 15, 2021Updated 4 years ago
- A Sparse-tensor Communication Framework for Distributed Deep Learning☆13Nov 1, 2021Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A Linux Kernel module implementing support for CCP congestion control algorithms☆23Sep 17, 2025Updated 6 months ago
- gossip: Efficient Communication Primitives for Multi-GPU Systems☆62Jul 1, 2022Updated 3 years ago
- Catamount is a compute graph analysis tool to load, construct, and modify deep learning models and to symbolically analyze their compute …☆14May 18, 2021Updated 4 years ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆36May 29, 2020Updated 5 years ago
- Cute layout visualization☆33Jan 18, 2026Updated 2 months ago
- Evaluation code and data for "Automatic Correction of Human Translations" [NAACL 2022].☆19Dec 9, 2022Updated 3 years ago
- Re-implementation for paper 'Semi-supervised learning with deep generative models' using lasagne. There is no guarantee for bug free.☆14Jul 3, 2021Updated 4 years ago
- "Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation☆30Feb 4, 2025Updated last year
- Strassen's Algorithm for Tensor Contraction☆15Jul 7, 2017Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- When you want to be a brilliant man, you should write down something interesting thing for recall.☆12Dec 18, 2022Updated 3 years ago
- Generating Families of Practical Fast Matrix Multiplication Algorithms☆12Jul 7, 2017Updated 8 years ago
- ☆11Jul 9, 2023Updated 2 years ago
- [ICCV 2023] Among Us: Adversarially Robust Collaborative Perception by Consensus☆21Feb 18, 2024Updated 2 years ago
- BLAS OpenCL implementation.☆16Apr 8, 2015Updated 10 years ago
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆27Dec 10, 2022Updated 3 years ago
- Parallel implementation of k-means clustering using MPI4PY and PyCUDA.☆10Mar 11, 2019Updated 7 years ago
- DP-BART for Privatized Text Rewriting under Local Differential Privacy☆18Oct 28, 2024Updated last year
- Official implementation for the paper Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapp…☆14Nov 17, 2025Updated 4 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- High-Performance Machine Learning Primitives☆13Apr 17, 2021Updated 4 years ago
- Xception V1 model in Tensorflow with pretrained weights on ImageNet☆13Apr 9, 2018Updated 7 years ago
- Fast Synchronization-Free Algorithms for Parallel Sparse Triangular Solves with Multiple Right-Hand Sides (SpTRSM)☆14Feb 14, 2020Updated 6 years ago
- ☆96Jan 22, 2026Updated 2 months ago
- New batched algorithm for sparse matrix-matrix multiplication (SpMM)☆16May 7, 2019Updated 6 years ago
- Multi-GPU CUDA based scheduler.☆13Jul 20, 2017Updated 8 years ago
- Automated neural architecture search algorithms implemented in PyTorch and Autogluon toolkit.☆12Apr 17, 2020Updated 5 years ago