Article

TORQUE resource manager

Author:

Garrick StaplesAuthors Info & Claims

SC '06: Proceedings of the 2006 ACM/IEEE conference on Supercomputing

Pages 8 - es

https://doi.org/10.1145/1188455.1188464

Published: 11 November 2006 Publication History

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Abstract

With TORQUE Resource Manager now reaching over 10,000 downloads per month and use across thousands of leading sites representing commercial, government, and academic organizations, we invite all TORQUE users to meet and discuss TORQUE with the professional developers, community volunteers other members who use and have contributed to the TORQUE project.Here we will discuss the current state of TORQUE including some of the more recent enhancements and capabilities along with the road map for the upcoming year. We will also provide a time for TORQUE users to share experiences, best practices, and new needs.

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Cao YYuan HHou FHong J(2024)Regression-Classification Parallel Prediction: An Online Learning Optimization for Job Scheduling Backfill AlgorithmProceedings of the 2024 8th International Conference on High Performance Compilation, Computing and Communications10.1145/3675018.3675775(35-40)Online publication date: 7-Jun-2024
https://dl.acm.org/doi/10.1145/3675018.3675775
Hanafy WLiang QBashir NSouza AIrwin DShenoy PTsafrir DMusuvathi MGupta RAbu-Ghazaleh N(2024)Going Green for Less Green: Optimizing the Cost of Reducing Cloud Carbon EmissionsProceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 310.1145/3620666.3651374(479-496)Online publication date: 27-Apr-2024
https://dl.acm.org/doi/10.1145/3620666.3651374
Finnerty PPosner JBürger JTakaoka LKanzaki T(2024)On the Performance of Malleable APGAS Programs and Batch Job SchedulersSN Computer Science10.1007/s42979-024-02641-75:4Online publication date: 27-Mar-2024
https://dl.acm.org/doi/10.1007/s42979-024-02641-7
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TORQUE resource manager

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Published In

SC '06: Proceedings of the 2006 ACM/IEEE conference on Supercomputing

November 2006

746 pages

ISBN:0769527000

DOI:10.1145/1188455

Conference Chair:
Barbara Horner-Miller
Arctic Region Supercomputing Center

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 November 2006

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SC '06

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SIGARCH
IEEE-CS

SC '06: International Conference for High Performance Computing, Networking, Storage and Analysis

November 11 - 17, 2006

Florida, Tampa

Acceptance Rates

SC '06 Paper Acceptance Rate 54 of 239 submissions, 23%;

Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

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Cao YYuan HHou FHong J(2024)Regression-Classification Parallel Prediction: An Online Learning Optimization for Job Scheduling Backfill AlgorithmProceedings of the 2024 8th International Conference on High Performance Compilation, Computing and Communications10.1145/3675018.3675775(35-40)Online publication date: 7-Jun-2024
https://dl.acm.org/doi/10.1145/3675018.3675775
Hanafy WLiang QBashir NSouza AIrwin DShenoy PTsafrir DMusuvathi MGupta RAbu-Ghazaleh N(2024)Going Green for Less Green: Optimizing the Cost of Reducing Cloud Carbon EmissionsProceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 310.1145/3620666.3651374(479-496)Online publication date: 27-Apr-2024
https://dl.acm.org/doi/10.1145/3620666.3651374
Finnerty PPosner JBürger JTakaoka LKanzaki T(2024)On the Performance of Malleable APGAS Programs and Batch Job SchedulersSN Computer Science10.1007/s42979-024-02641-75:4Online publication date: 27-Mar-2024
https://dl.acm.org/doi/10.1007/s42979-024-02641-7
Hanafy WLiang QBashir NIrwin DShenoy P(2023)CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-EfficiencyProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/36267887:3(1-28)Online publication date: 7-Dec-2023
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Menear KNag APerr-Sauer JLunacek MPotter KDuplyakin D(2023)Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological ApproachPractice and Experience in Advanced Research Computing 2023: Computing for the Common Good10.1145/3569951.3593598(75-85)Online publication date: 23-Jul-2023
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Maurya ANicolae BGuliani IRafique MVoznak MCalafate CDe Rango F(2020)CoSimProceedings of the IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications10.5555/3451906.3451931(167-174)Online publication date: 14-Sep-2020
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Curino CKrishnan SKaranasos KRao SFumarola GHuang BChaliparambil KSuresh AChen YHeddaya SBurd RSakalanaga SDouglas CRamsey BRamakrishnan RLorch JYu M(2019)HydraProceedings of the 16th USENIX Conference on Networked Systems Design and Implementation10.5555/3323234.3323250(177-191)Online publication date: 26-Feb-2019
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Tan YWu FWu QLiao X(2019)Resource stealingThe Journal of Supercomputing10.1007/s11227-015-1609-375:1(33-49)Online publication date: 1-Jan-2019
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Liu FKeahey KRiteau PWeissman J(2018)Dynamically negotiating capacity between on-demand and batch clustersProceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis10.5555/3291656.3291707(1-11)Online publication date: 11-Nov-2018
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Planning and Optimization in TORQUE Resource Manager

GCM: a grid configuration manager for heterogeneous grid environments

The Grid Resource Broker workflow engine

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Recommendations

Planning and Optimization in TORQUE Resource Manager

GCM: a grid configuration manager for heterogeneous grid environments

The Grid Resource Broker workflow engine

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