msr-fiddle / synergyView external linksLinks
☆52Dec 13, 2022Updated 3 years ago
Alternatives and similar repositories for synergy
Users that are interested in synergy are comparing it to the libraries listed below
Sorting:
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆137Jul 25, 2024Updated last year
- ☆24Aug 15, 2023Updated 2 years ago
- ☆23Jan 7, 2022Updated 4 years ago
- ☆198Aug 31, 2019Updated 6 years ago
- Helios Traces from SenseTime☆61Sep 27, 2022Updated 3 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆43Dec 29, 2023Updated 2 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆55May 10, 2024Updated last year
- ☆38Jun 27, 2025Updated 7 months ago
- ☆44Jul 4, 2024Updated last year
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆58May 21, 2023Updated 2 years ago
- ☆323Jan 22, 2024Updated 2 years ago
- ☆41Apr 25, 2024Updated last year
- ☆38Jan 15, 2021Updated 5 years ago
- An Efficient Dynamic Resource Scheduler for Deep Learning Clusters☆41Oct 28, 2017Updated 8 years ago
- a deep learning-driven scheduler for elastic training in deep learning clusters☆31Jan 14, 2021Updated 5 years ago
- Source code of IPA, https://escholarship.org/uc/item/2p0805dq☆12Jun 27, 2024Updated last year
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Jan 9, 2023Updated 3 years ago
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆36Mar 1, 2023Updated 2 years ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆55Dec 11, 2022Updated 3 years ago
- HeliosArtifact☆22Sep 27, 2022Updated 3 years ago
- Tiresias is a GPU cluster manager for distributed deep learning training.☆166May 7, 2020Updated 5 years ago
- Kubernetes Scheduler for Deep Learning☆263May 22, 2022Updated 3 years ago
- ☆24Jun 21, 2023Updated 2 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆58Aug 21, 2024Updated last year
- iGniter, an interference-aware GPU resource provisioning framework for achieving predictable performance of DNN inference in the cloud.☆39Jun 11, 2024Updated last year
- GPU-scheduler-for-deep-learning☆210Nov 5, 2020Updated 5 years ago
- Fine-grained GPU sharing primitives☆148Jul 28, 2025Updated 6 months ago
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆12Mar 7, 2024Updated last year
- ☆17Dec 9, 2022Updated 3 years ago
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆104Dec 24, 2022Updated 3 years ago
- Primo: Practical Learning-Augmented Systems with Interpretable Models☆19Dec 26, 2023Updated 2 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127May 9, 2022Updated 3 years ago
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆76Dec 11, 2020Updated 5 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆452Mar 5, 2023Updated 2 years ago
- FTPipe and related pipeline model parallelism research.☆44May 16, 2023Updated 2 years ago
- SOTA Learning-augmented Systems☆37May 21, 2022Updated 3 years ago
- 微信Ipad协议golang版本,基于grpc的实现策略。这套代码需要通过gprc服务端组包解包才可以正常使用☆12Jul 8, 2019Updated 6 years ago
- Efficient-Tensor-Management-on-HM-for-Deep-Learning☆10Nov 15, 2021Updated 4 years ago
- A resilient distributed training framework☆96Apr 11, 2024Updated last year