uw-mad-dash / shockwave
Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]
☆43Updated 2 years ago
Alternatives and similar repositories for shockwave:
Users that are interested in shockwave are comparing it to the libraries listed below
- ☆49Updated 2 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆41Updated last year
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆49Updated 2 years ago
- ☆16Updated 11 months ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆51Updated 11 months ago
- Helios Traces from SenseTime☆54Updated 2 years ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆53Updated last year
- ☆42Updated 10 months ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 2 years ago
- ☆48Updated 4 months ago
- ☆16Updated last year
- ☆37Updated 3 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆42Updated 2 years ago
- ☆20Updated 3 years ago
- ☆53Updated 4 years ago
- ☆51Updated 10 months ago
- Serverless optimizations☆51Updated last year
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆40Updated 5 months ago
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆94Updated 2 years ago
- Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training (MLSys '23)☆9Updated last year
- Primo: Practical Learning-Augmented Systems with Interpretable Models☆19Updated last year
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆52Updated 8 months ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Updated last year
- HeliosArtifact☆20Updated 2 years ago
- Artifacts for our NSDI'23 paper TGS☆75Updated 10 months ago
- Analyze network performance in distributed training☆18Updated 4 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆81Updated last year
- SOTA Learning-augmented Systems☆36Updated 2 years ago
- ☆22Updated last year