zhuangwang93 / EspressoLinks
Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '23)
☆15Updated 2 years ago
Alternatives and similar repositories for Espresso
Users that are interested in Espresso are comparing it to the libraries listed below
Sorting:
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 3 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…☆27Updated 3 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆43Updated 2 years ago
- ☆52Updated 3 years ago
- THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression☆20Updated last year
- ☆53Updated last year
- ☆68Updated 2 years ago
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆12Updated last year
- ☆24Updated last year
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆46Updated 3 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆55Updated last year
- TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches☆79Updated 2 years ago
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆105Updated 3 years ago
- Managed collective communication service☆23Updated last year
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆75Updated 3 months ago
- ☆29Updated last year
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆55Updated 3 years ago
- ☆38Updated 6 months ago
- ☆44Updated last year
- [ACM EuroSys 2023] Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access☆56Updated 5 months ago
- A minimum demo for PyTorch distributed extension functionality for collectives.☆15Updated last year
- ☆25Updated 2 years ago
- ☆56Updated 4 years ago
- ☆65Updated last year
- ☆25Updated 3 years ago
- ☆16Updated last year
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago
- Compiler for Dynamic Neural Networks☆45Updated 2 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆92Updated 2 years ago
- Analyze network performance in distributed training☆20Updated 5 years ago