MOLAR: Adaptive Runtime Support for High-End Computing Operating and Runtime Systems

Journal Article · Sat Dec 31 23:00:00 EST 2005 · ACM SIGOPS Operating Systems Review

DOI:https://doi.org/10.1145/1131322.1131337· OSTI ID:978167

Engelmann, Christian ^[1]; Scott, Steven L ^[1]; Bernholdt, David E ^[1]; Gottumukkala, Narasimha R. ^[2]; Chokchai, Leangsuksun ^[2]; Varma, Jyothish S. ^[3]; Wang, Chao ^[3]; Mueller, Frank ^[3]; Shet, Aniruddha G. ^[4]; Sadayappan, Ponnuswamy ^[4]

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1. ORNL
2. Louisiana Tech University
3. North Carolina State University
4. Ohio State University

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.

• Research Organization: Oak Ridge National Laboratory (ORNL)
• Sponsoring Organization: SC USDOE - Office of Science (SC)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 978167
• Journal Information: ACM SIGOPS Operating Systems Review, Journal Name: ACM SIGOPS Operating Systems Review Journal Issue: 2 Vol. 40
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
AVAILABILITY
COMPUTERS
MANAGEMENT
MONITORING
PERFORMANCE
RELIABILITY
SUPERCOMPUTERS