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HyperSched: Dynamic Resource Reallocation for Model Development on a
  Deadline

HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline

ACM Symposium on Cloud Computing (SoCC), 2019
8 January 2020
Richard Liaw
Romil Bhardwaj
Lisa Dunlap
Yitian Zou
Joseph E. Gonzalez
Ion Stoica
Alexey Tumanov
ArXiv (abs)PDFHTML

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

9 / 9 papers shown
Towards providing reliable job completion time predictions using PCS
Towards providing reliable job completion time predictions using PCS
Abdullah Bin Faisal
Noah Martin
Hafiz Mohsin Bashir
Swaminathan Lamelas
Fahad R. Dogar
215
0
0
18 Jan 2024
Scavenger: A Cloud Service for Optimizing Cost and Performance of ML
  Training
Scavenger: A Cloud Service for Optimizing Cost and Performance of ML TrainingIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2023
S. Tyagi
Prateek Sharma
149
6
0
12 Mar 2023
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy,
  Challenges and Vision
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
292
36
0
24 May 2022
BFTrainer: Low-Cost Training of Neural Networks on Unfillable
  Supercomputer Nodes
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes
Zhengchun Liu
R. Kettimuthu
M. Papka
Ian Foster
140
3
0
22 Jun 2021
PAC Best Arm Identification Under a Deadline
PAC Best Arm Identification Under a Deadline
Brijen Thananjeyan
Kirthevasan Kandasamy
Ion Stoica
Sai Li
Ken Goldberg
Joseph E. Gonzalez
158
4
0
06 Jun 2021
Ekya: Continuous Learning of Video Analytics Models on Edge Compute
  Servers
Ekya: Continuous Learning of Video Analytics Models on Edge Compute ServersSymposium on Networked Systems Design and Implementation (NSDI), 2020
Romil Bhardwaj
Zhengxu Xia
Ganesh Ananthanarayanan
Junchen Jiang
Nikolaos Karianakis
Yuanchao Shu
Kevin Hsieh
P. Bahl
Ion Stoica
157
197
0
19 Dec 2020
Resource Allocation in Multi-armed Bandit Exploration: Overcoming
  Sublinear Scaling with Adaptive Parallelism
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive ParallelismInternational Conference on Machine Learning (ICML), 2020
Brijen Thananjeyan
Kirthevasan Kandasamy
Ion Stoica
Sai Li
Ken Goldberg
Joseph E. Gonzalez
152
11
0
31 Oct 2020
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage
  Trees
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees
Ahnjae Shin
Do Yoon Kim
Joo Seong Jeong
Byung-Gon Chun
152
5
0
22 Jun 2020
FLAML: A Fast and Lightweight AutoML Library
FLAML: A Fast and Lightweight AutoML LibraryConference on Machine Learning and Systems (MLSys), 2019
Chi Wang
Qingyun Wu
Markus Weimer
Erkang Zhu
352
258
0
12 Nov 2019
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