Self-aware computing in the Angstrom processor

Summary, in English

Addressing the challenges of extreme scale computing re- quires holistic design of new programming models and sys- tems 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 ex- posing 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).

• Author: 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; Srinivas Devadas
• Department/s: Department of Automatic Control; ELLIIT: the Linköping-Lund initiative on IT and mobile communication
• Publishing year: 2012
• Language: English
• Pages: 259-264
• Publication/Series: Proceedings of the 49th Annual Design Automation Conference
• Links: http://dx.doi.org/10.1145/2228360.2228409
• Document type: Conference paper
• Publisher: Association for Computing Machinery (ACM)
• Topic: Control Engineering
• Keywords: Performance; Design; Experimentation; Adaptive Systems; Self-aware Computing
• Conference name: 49th Annual Design and Automation Conference
• Conference date: 2012-06-03
• Conference place: San Francisco, CA, United States
• Status: Published
• Research group: LCCC
• ISBN/ISSN/Other: ISBN: 978-1-4503-1199-1