Application kernels: HPC resources performance monitoring and variance analysis-Reference-Cited by-同舟云学术

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Application kernels: HPC resources performance monitoring and variance analysis

Published:2015-09-20 Issue:17 Volume:27 Page:5238-5260
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Simakov Nikolay A.¹,White Joseph P.¹,DeLeon Robert L.¹,Ghadersohi Amin¹,Furlani Thomas R.¹,Jones Matthew D.¹,Gallo Steven M.¹,Patra Abani K.¹

Affiliation:

1. Center for Computational Research; SUNY at Buffalo; Buffalo NY USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.3564/fullpdf

Reference33 articles.

1. White JP Barth WL Hammond J et al An analysis of node sharing on HPC clusters using XDMoD/TACC_stats. Proc. 2014 annu. Conf. Extrem. Sci. Eng. Discov. Environ. - XSEDE'14 2014 1 8

2. Browne JC Furlani TR McLay RT et al Enabling comprehensive data-driven system management for large computational facilities 2013 1 11

3. Performance metrics and auditing framework using application kernels for high-performance computer systems;Furlani;Concurrency and Computation Practice and Experience,2013

4. Lu C-D Browne J DeLeon RL et al Comprehensive job level resource usage measurement and analysis for XSEDE HPC systems 2013 1

5. Furlani TR Gentner RJ Patra AK et al Using XDMoD to facilitate XSEDE operations, planning and analysis 2013 1

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