MOLAR

Author:

Engelmann Christian1,Scott Stephen L.1,Bernholdt David E.1,Gottumukkala Narasimha R.2,Leangsuksun Chokchai2,Varma Jyothish3,Wang Chao3,Mueller Frank3,Shet Aniruddha G.4,Sadayappan P.4

Affiliation:

1. Oak Ridge National Laboratory, Oak Ridge, TN

2. Louisiana Tech University, Ruston, LA

3. North Carolina State University, Raleigh, NC

4. The Ohio State University, Columbus, OH

Abstract

MOLAR is a multi-institutional research effort that concentrates on adaptive, reliable, and efficient operating and runtime system (OS/R) solutions for ultra-scale high-end scientific computing on the next generation of supercomputers. This research addresses the challenges outlined in FAST-OS (forum to address scalable technology for runtime and operating systems) and HECRTF (high-end computing revitalization task force) activities by exploring the use of advanced monitoring and adaptation to improve application performance and predictability of system interruptions, and by advancing computer reliability, availability and serviceability (RAS) management systems to work cooperatively with the OS/R to identify and preemptively resolve system issues. This paper describes recent research of the MOLAR team in advancing RAS for high-end computing OS/Rs.

Publisher

Association for Computing Machinery (ACM)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Holistic aggregate resource environment;ACM SIGOPS Operating Systems Review;2008-01

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