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:
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 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…☆26Updated 2 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆42Updated last year
- ☆51Updated 2 years ago
- ☆68Updated 2 years ago
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆45Updated 2 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago
- Managed collective communication service☆22Updated last year
- ☆56Updated last year
- ☆56Updated 4 years ago
- ☆25Updated 2 years ago
- ☆23Updated last year
- THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression☆19Updated last year
- Analyze network performance in distributed training☆19Updated 4 years ago
- ☆37Updated 2 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆85Updated 2 years ago
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆25Updated 9 months ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆52Updated last year
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆13Updated last year
- TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches☆74Updated 2 years ago
- ☆16Updated last year
- ☆50Updated 8 months ago
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆64Updated 9 months ago
- Expressive, Easy to Build, and High-Performance Application Networks☆18Updated 2 months ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆51Updated 2 years ago
- ☆24Updated last year
- Model-less Inference Serving☆92Updated last year
- A minimum demo for PyTorch distributed extension functionality for collectives.☆14Updated last year
- ☆44Updated last year
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆100Updated 2 years ago