Tiresias is a GPU cluster manager for distributed deep learning training.
☆166May 7, 2020Updated 5 years ago
Alternatives and similar repositories for Tiresias
Users that are interested in Tiresias are comparing it to the libraries listed below
Sorting:
- Fine-grained GPU sharing primitives☆147Jul 28, 2025Updated 7 months ago
- ☆199Aug 31, 2019Updated 6 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆36Jan 9, 2023Updated 3 years ago
- GPU-scheduler-for-deep-learning☆209Nov 5, 2020Updated 5 years ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆137Jul 25, 2024Updated last year
- Artifacts for our SIGCOMM'22 paper Muri☆43Dec 29, 2023Updated 2 years ago
- Helios Traces from SenseTime☆61Sep 27, 2022Updated 3 years ago
- ☆23Jan 7, 2022Updated 4 years ago
- Aequitas enables RPC-level QoS in datacenter networks.☆18Jul 19, 2022Updated 3 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆56May 10, 2024Updated last year
- An Efficient Dynamic Resource Scheduler for Deep Learning Clusters☆41Oct 28, 2017Updated 8 years ago
- Justitia provides RDMA isolation between applications with diverse requirements.☆43May 25, 2022Updated 3 years ago
- ☆17May 10, 2024Updated last year
- HeliosArtifact☆22Sep 27, 2022Updated 3 years ago
- A Federated Execution Engine for Fast Distributed Computation Over Slow Networks☆25Apr 26, 2021Updated 4 years ago
- ☆52Dec 13, 2022Updated 3 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆453Mar 5, 2023Updated 3 years ago
- A Generic Resource-Aware Hyperparameter Tuning Execution Engine☆15Jan 8, 2022Updated 4 years ago
- ☆325Jan 22, 2024Updated 2 years ago
- Kubernetes Scheduler for Deep Learning☆264May 22, 2022Updated 3 years ago
- A Deep Learning Cluster Scheduler☆37Jan 11, 2021Updated 5 years ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆59May 21, 2023Updated 2 years ago
- Deadline-based hyperparameter tuning on RayTune.☆32Jan 16, 2020Updated 6 years ago
- Hydra adds resilience and high availability to remote memory solutions.☆33Feb 22, 2022Updated 4 years ago
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆47Nov 24, 2022Updated 3 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127May 9, 2022Updated 3 years ago
- 碩士論文文獻筆記（Deep Learning、Scheduling、Distributed、Kubernetes）☆51May 5, 2019Updated 6 years ago
- A GPU Cluster Simulator for Distributed Deep Learning Training.☆11Jan 15, 2022Updated 4 years ago
- Artifacts for our NSDI'23 paper TGS☆98Jun 10, 2024Updated last year
- Integrated Training Platform (ITP) traces used in ElasticFlow paper.☆31Dec 23, 2022Updated 3 years ago
- Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021☆28Dec 15, 2021Updated 4 years ago
- Intelligent Resource Requirement Estimation and Scheduling for Deep Learning Jobs on Distributed GPU Clusters☆15Nov 18, 2021Updated 4 years ago
- cluster data collected from production clusters in Alibaba for cluster management research☆1,994Mar 12, 2026Updated last week
- ☆47Dec 16, 2022Updated 3 years ago
- ☆11Dec 18, 2020Updated 5 years ago
- ☆38Jan 15, 2021Updated 5 years ago
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆295Feb 23, 2024Updated 2 years ago
- Infiniswap enables unmodified applications to efficiently use disaggregated memory.☆256Sep 26, 2020Updated 5 years ago
- This repository contains code for the paper: Bergsma S., Zeyl T., Senderovich A., and Beck J. C., "Generating Complex, Realistic Cloud Wo…☆43Nov 11, 2021Updated 4 years ago