HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline

8 January 2020

Papers citing "HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline"

6 / 6 papers shown

Title
Towards providing reliable job completion time predictions using PCS Abdullah Bin Faisal Noah Martin Hafiz Mohsin Bashir Swaminathan Lamelas Fahad R. Dogar 85 0 0 18 Jan 2024
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision Wei Gao Qi Hu Zhisheng Ye Yang Liu Xiaolin Wang Yingwei Luo Tianwei Zhang Yonggang Wen 172 29 0 24 May 2022
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes Zhengchun Liu R. Kettimuthu M. Papka Ian Foster 77 3 0 22 Jun 2021
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers Romil Bhardwaj Zhengxu Xia Ganesh Ananthanarayanan Junchen Jiang Nikolaos Karianakis Yuanchao Shu Kevin Hsieh P. Bahl Ion Stoica 106 177 0 19 Dec 2020
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism Brijen Thananjeyan Kirthevasan Kandasamy Ion Stoica Michael I. Jordan Ken Goldberg Joseph E. Gonzalez 93 8 0 31 Oct 2020
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 190 224 0 12 Nov 2019