icloud-ecnu / Tetris
Tetris, a model predictive control (MPC)-based container scheduling strategy to judiciously make migration decisions for long-running containerized workloads. Tetris can achieve the long-term optimization of container scheduling to circumvent invalid migrations as many as possible, by jointly optimizing the cluster load balancing and container m…
☆20Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for Tetris
- DelayStage is a simple yet effective stage delay scheduling strategy to interleave the cluster resources across the parallel stages, so a…☆15Updated last year
- Prophet is a predictable communication scheduling strategy to schedule the gradient transfer in an adequate order, with the aim of maximi…☆16Updated last year
- spotDNN is a heterogeneity-aware spot instance provisioning framework to provide predictable performance for DDNN training workloads in t…☆16Updated last year
- ebrowser, an energy-efficient and lightweight human interaction framework without degrading the user experience in mobile Web browsers.☆13Updated last year
- ☆12Updated last year
- iSpot is a lightweight and cost-effective instance provisioning framework for Directed Acyclic Graph (DAG)-style big data analytics, in …☆12Updated last year
- Reading paper list for iCloud group☆13Updated this week
- ☆9Updated 3 years ago
- Opara is a lightweight and resource-aware DNN Operator parallel scheduling framework to accelerate the execution of DNN inference on GPUs…☆17Updated last month
- λDNN is a cost-efficient function resource provisioning framework to minimize the monetary cost and guarantee the performance for DDNN tr…☆23Updated last year
- iGniter, an interference-aware GPU resource provisioning framework for achieving predictable performance of DNN inference in the cloud.☆35Updated 5 months ago
- ☆41Updated last year
- HeliosArtifact☆19Updated 2 years ago
- Helios Traces from SenseTime☆49Updated 2 years ago
- ☆48Updated last year
- Artifacts for our ASPLOS'23 paper ElasticFlow☆52Updated 6 months ago
- Intelligent Resource Requirement Estimation and Scheduling for Deep Learning Jobs on Distributed GPU Clusters☆12Updated 3 years ago
- ☆37Updated 3 years ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆50Updated last year
- Kubernetes Scheduler Simulator☆86Updated 3 months ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆125Updated 3 months ago
- ☆29Updated 4 months ago
- a deep learning-driven scheduler for elastic training in deep learning clusters☆27Updated 3 years ago
- ☆12Updated last year
- ☆257Updated 10 months ago
- ☆180Updated 5 years ago
- ☆23Updated last year
- ☆23Updated 2 years ago
- LaLaRAND: Flexible Layer-by-Layer CPU/GPU Scheduling for Real-Time DNN Tasks☆11Updated 2 years ago
- Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021☆24Updated 2 years ago