2004-07: MOLAR – Modular Linux and Adaptive Runtime Support for High-End Computing
This project was a multi-institution research effort that concentrated on adaptive, reliable, and efficient operating and runtime system solutions for ultra-scale high-end scientific computing on the next generation of supercomputers. It addressed the challenges outlined by the U.S. Department of Energy (DOE) Forum to Address Scalable Technology for Runtime and Operating Systems (FAST-OS) and the U.S. National Coordination Office for Networking and Information Technology Research and Development (NCO/NITRD) High-End Computing Revitalization Task Force (HECRTF) activities by providing an adaptable runtime support for high-end computing operating and runtime systems. This research primarily concentrated on advancing computer reliability, availability and serviceability (RAS) management systems to run large and long-running applications efficiently on future ultra-scale computers, and on providing advanced monitoring and adaptation mechanisms for improved application performance and predictability. For more information, please visit www.fastos.org/molar.
Solutions
Participating Institutions
Funding Sources
- Office of Advanced Scientific Computing Research, Office of Science, U.S. Department of Energy
Important Publications
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- Li Ou, Xubin (Ben) He, Christian Engelmann, and Stephen L. Scott. A Fast Delivery Protocol for Total Order Broadcasting. In Proceedings of the 16th IEEE International Conference on Computer Communications and Networks (ICCCN) 2007, pages 730-734, Honolulu, HI, USA, August 13-16, 2007. IEEE Computer Society, Los Alamitos, CA, USA. ISBN 978-1-42441-251-8. ISSN 1095-2055. Acceptance rate 29.1% (160/550).
- Arun B. Nagarajan, Frank Mueller, Christian Engelmann, and Stephen L. Scott. Proactive Fault Tolerance for HPC with Xen Virtualization. In Proceedings of the 21st ACM International Conference on Supercomputing (ICS) 2007, pages 23-32, Seattle, WA, USA, June 16-20, 2007. ACM Press, New York, NY, USA. ISBN 978-1-59593-768-1. Acceptance rate 23.6% (29/123). Most cited paper with 135 citations.
- Chao Wang, Frank Mueller, Christian Engelmann, and Stephen L. Scott. A Job Pause Service under LAM/MPI+BLCR for Transparent Fault Tolerance. In Proceedings of the 21st IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2007, pages 1-10, Long Beach, CA, USA, March 26-30, 2007. ACM Press, New York, NY, USA. ISBN 978-1-59593-768-1. Acceptance rate 26.0% (109/419).
- Christian Engelmann, Stephen L. Scott, David E. Bernholdt, Narasimha R. Gottumukkala, Chokchai (Box) Leangsuksun, Jyothish Varma, Chao Wang, Frank Mueller, Aniruddha G. Shet, and Ponnuswamy (Saday) Sadayappan. MOLAR: Adaptive Runtime Support for High-End Computing Operating and Runtime Systems. ACM SIGOPS Operating Systems Review (OSR), volume 40, number 2, pages 63-72, 2006. ACM Press, New York, NY, USA. ISSN 0163-5980.