From reconfigurable architectures to self-adaptive autonomic systems

Systems on a chip (SoC) can draw various benefits such as adaptability and efficient acceleration of compute-intensive tasks from the inclusion of reconfigurable hardware as a system component. Dynamic reconfiguration capabilities of current reconfigurable devices create an additional dimension in t...

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Main Author: Santambrogio, Marco Domenico
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/52483
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author Santambrogio, Marco Domenico
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Santambrogio, Marco Domenico
author_sort Santambrogio, Marco Domenico
collection MIT
description Systems on a chip (SoC) can draw various benefits such as adaptability and efficient acceleration of compute-intensive tasks from the inclusion of reconfigurable hardware as a system component. Dynamic reconfiguration capabilities of current reconfigurable devices create an additional dimension in the temporal domain. During the design space exploration phase, overheads associated with reconfiguration and hardware/software interfacing need to be evaluated carefully in order to harvest the full potential of dynamic reconfiguration. In order to overcome the limits deriving by the increasing complexity and the associated workload to maintain such complex infrastructure, one possibility is to adopt self-adaptive and autonomic computing systems. A self-adaptive and autonomic computing system is a system able to configure, heal, optimize and protect itself without the need for human intervention.
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spelling mit-1721.1/524832022-09-29T13:06:18Z From reconfigurable architectures to self-adaptive autonomic systems Santambrogio, Marco Domenico Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Santambrogio, Marco Domenico Santambrogio, Marco Domenico Self-Adaptive Systems Runtime Adaptability Performance Reconfiguration Codesign Systems on a chip (SoC) can draw various benefits such as adaptability and efficient acceleration of compute-intensive tasks from the inclusion of reconfigurable hardware as a system component. Dynamic reconfiguration capabilities of current reconfigurable devices create an additional dimension in the temporal domain. During the design space exploration phase, overheads associated with reconfiguration and hardware/software interfacing need to be evaluated carefully in order to harvest the full potential of dynamic reconfiguration. In order to overcome the limits deriving by the increasing complexity and the associated workload to maintain such complex infrastructure, one possibility is to adopt self-adaptive and autonomic computing systems. A self-adaptive and autonomic computing system is a system able to configure, heal, optimize and protect itself without the need for human intervention. 2010-03-10T20:10:16Z 2010-03-10T20:10:16Z 2009-10 Article http://purl.org/eprint/type/JournalArticle 978-1-4244-5334-4 http://hdl.handle.net/1721.1/52483 Santambrogio, M.D. “From Reconfigurable Architectures to Self-Adaptive Autonomic Systems.” Computational Science and Engineering, 2009. CSE '09. International Conference on. 2009. 926-931. © 2009 IEEE en_US http://dx.doi.org/10.1109/CSE.2009.490 2009 International Conference on Computational Science and Engineering Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE
spellingShingle Self-Adaptive Systems
Runtime Adaptability
Performance
Reconfiguration
Codesign
Santambrogio, Marco Domenico
From reconfigurable architectures to self-adaptive autonomic systems
title From reconfigurable architectures to self-adaptive autonomic systems
title_full From reconfigurable architectures to self-adaptive autonomic systems
title_fullStr From reconfigurable architectures to self-adaptive autonomic systems
title_full_unstemmed From reconfigurable architectures to self-adaptive autonomic systems
title_short From reconfigurable architectures to self-adaptive autonomic systems
title_sort from reconfigurable architectures to self adaptive autonomic systems
topic Self-Adaptive Systems
Runtime Adaptability
Performance
Reconfiguration
Codesign
url http://hdl.handle.net/1721.1/52483
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