zhuangwang93 / EspressoLinks
Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '23)
☆15Updated last year
Alternatives and similar repositories for Espresso
Users that are interested in Espresso are comparing it to the libraries listed below
Sorting:
- Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training (MLSys '23)☆9Updated last year
- ☆49Updated 2 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆51Updated last year
- ☆51Updated 11 months ago
- THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression☆18Updated 10 months ago
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆26Updated 2 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆41Updated last year
- ☆17Updated last year
- A minimum demo for PyTorch distributed extension functionality for collectives.☆11Updated 10 months ago
- Managed collective communication service☆21Updated 8 months ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆50Updated 2 years ago
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆12Updated last year
- ☆53Updated 4 years ago
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆46Updated 6 months ago
- ☆25Updated last year
- ☆37Updated 3 years ago
- ☆49Updated 5 months ago
- ☆69Updated 2 years ago
- [NSDI 2023] TopoOpt: Optimizing the Network Topology for Distributed DNN Training☆30Updated 8 months ago
- Analyze network performance in distributed training☆18Updated 4 years ago
- TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches☆73Updated last year
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆43Updated 2 years ago
- ☆23Updated 2 years ago
- Repository for MLCommons Chakra schema and tools☆39Updated last year
- Aequitas enables RPC-level QoS in datacenter networks.☆16Updated 2 years ago
- Helios Traces from SenseTime☆54Updated 2 years ago
- LLM serving cluster simulator☆100Updated last year
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆33Updated 2 years ago
- Justitia provides RDMA isolation between applications with diverse requirements.☆40Updated 3 years ago