Self-aware Computing in the Angstrom Processor
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Devadas-Self-aware computing.pdf
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483.9 KB
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Checksum (MD5)
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Author(s)
Hoffmann, Henry Christian
Holt, Jim
Kurian, George
Lau, Eric
Maggio, Martina
Miller, Jason E.
Neuman, Sabrina M.
Sinangil, Mahmut Ersin
Sinangil, Yildiz
Agarwal, Anant
Date Issued
June 2012
Journal
Proceedings of the 49th Annual Design Automation Conference (DAC '12)
Publisher
Association for Computing Machinery (ACM)
Citation
Henry Hoffmann, Jim Holt, George Kurian, Eric Lau, Martina Maggio, Jason E. Miller, Sabrina M. Neuman, Mahmut Sinangil, Yildiz Sinangil, Anant Agarwal, Anantha P. Chandrakasan, and Srinivas Devadas. 2012. Self-aware computing in the Angstrom processor. In Proceedings of the 49th Annual Design Automation Conference (DAC '12). ACM, New York, NY, USA, 259-264.
Version
Author's final manuscript
Abstract
Addressing the challenges of extreme scale computing requires holistic design of new programming models and systems that support those models. This paper discusses the Angstrom processor, which is designed to support a new Self-aware Computing (SEEC) model. In SEEC, applications explicitly state goals, while other systems components provide actions that the SEEC runtime system can use to meet those goals. Angstrom supports this model by exposing sensors and adaptations that traditionally would be managed independently by hardware. This exposure allows SEEC to coordinate hardware actions with actions specified by other parts of the system, and allows the SEEC runtime system to meet application goals while reducing costs (e.g., power consumption).
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Microsystems Technology Laboratories
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1145/2228360.2228409
