uw-mad-dash / shockwaveLinks
Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]
☆44Updated 2 years ago
Alternatives and similar repositories for shockwave
Users that are interested in shockwave are comparing it to the libraries listed below
Sorting:
- ☆50Updated 2 years ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆50Updated 2 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆42Updated last year
- ☆16Updated last year
- Artifacts for our ASPLOS'23 paper ElasticFlow☆52Updated last year
- Helios Traces from SenseTime☆56Updated 2 years ago
- ☆18Updated last year
- ☆44Updated 11 months ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 3 years ago
- ☆37Updated 3 years ago
- ☆49Updated 5 months ago
- HeliosArtifact☆20Updated 2 years ago
- ☆20Updated 3 years ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆128Updated 10 months ago
- ☆53Updated 4 years ago
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆49Updated 6 months ago
- The source code of INFless，a native serverless platform for AI inference.☆38Updated 2 years ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆55Updated 2 years ago
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆25Updated 7 months ago
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Updated last year
- SOTA Learning-augmented Systems☆36Updated 3 years ago
- 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 10 months ago
- Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training (MLSys '23)☆9Updated last year
- Personal blog + reading notes on system-ish papers☆15Updated last year
- PilotFish harvests the free GPU cycles of cloud gaming with deep learning training☆13Updated 2 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆81Updated last year
- Analyze network performance in distributed training☆18Updated 4 years 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