alibaba / EasyParallelLibrary
Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
☆264Updated last year
Related projects ⓘ
Alternatives and complementary repositories for EasyParallelLibrary
- ☆208Updated last year
- TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.☆90Updated last year
- GLake: optimizing GPU memory management and IO transmission.☆375Updated 3 months ago
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆156Updated 6 months ago
- DeepLearning Framework Performance Profiling Toolkit☆278Updated 2 years ago
- ☆123Updated this week
- Disaggregated serving system for Large Language Models (LLMs).☆348Updated 2 months ago
- FlagScale is a large model toolkit based on open-sourced projects.☆167Updated this week
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆264Updated this week
- RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.☆541Updated 3 weeks ago
- ☆282Updated last week
- PyTorch distributed training acceleration framework☆32Updated this week
- GPU-scheduler-for-deep-learning☆198Updated 4 years ago
- ☆55Updated 4 years ago
- HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of…☆133Updated 2 months ago
- Zero Bubble Pipeline Parallelism☆279Updated this week
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆105Updated 10 months ago
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆457Updated 7 months ago
- Running BERT without Padding☆460Updated 2 years ago
- ☆74Updated 10 months ago
- AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and ver…☆200Updated 3 weeks ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆352Updated last week
- OneFlow models for benchmarking.☆104Updated 3 months ago
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆815Updated 2 months ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆142Updated 2 years ago
- Efficient and easy multi-instance LLM serving☆192Updated this week
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆46Updated 3 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆215Updated 5 months ago
- Transformer related optimization, including BERT, GPT☆60Updated last year
- LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training☆391Updated this week