Advanced

Self-aware computing in the Angstrom processor

Hoffmann, Henry; Holt, Jim; Kurian, George; Lau, Eric; Maggio, Martina LU ; Miller, Jason E.; Neuman, Sabrina M.; Sinangil, Mahmut; Sinangil, Yildiz and Agarwal, Anant, et al. (2012) 49th Annual Design and Automation Conference In Proceedings of the 49th Annual Design Automation Conference p.259-264
Abstract
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... (More)
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). (Less)
Please use this url to cite or link to this publication:
author
, et al. (More)
(Less)
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Performance, Design, Experimentation, Adaptive Systems, Self-aware Computing
in
Proceedings of the 49th Annual Design Automation Conference
pages
6 pages
publisher
ACM
conference name
49th Annual Design and Automation Conference
external identifiers
  • Scopus:84863546818
ISBN
978-1-4503-1199-1
DOI
10.1145/2228360.2228409
language
English
LU publication?
yes
id
97862115-2dc6-411e-a838-69c94bc71b31 (old id 3405379)
date added to LUP
2013-01-25 10:47:50
date last changed
2016-10-30 04:41:23
@misc{97862115-2dc6-411e-a838-69c94bc71b31,
  abstract     = {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       = {Hoffmann, Henry and Holt, Jim and Kurian, George and Lau, Eric and Maggio, Martina and Miller, Jason E. and Neuman, Sabrina M. and Sinangil, Mahmut and Sinangil, Yildiz and Agarwal, Anant and Chandrakasan, Anantha P. and Devadas, Srinivas},
  isbn         = {978-1-4503-1199-1},
  keyword      = {Performance,Design,Experimentation,Adaptive Systems,Self-aware Computing},
  language     = {eng},
  pages        = {259--264},
  publisher    = {ARRAY(0xac0d378)},
  series       = {Proceedings of the 49th Annual Design Automation Conference},
  title        = {Self-aware computing in the Angstrom processor},
  url          = {http://dx.doi.org/10.1145/2228360.2228409},
  year         = {2012},
}