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RCML: An Environment for Estimation Modeling of Reconfigurable Computing Systems

RCML: An Environment for Estimation Modeling of Reconfigurable Computing Systems RCML: An Environment for Estimation Modeling of Reconfigurable Computing Systems CASEY REARDON, BRIAN HOLLAND, ALAN D. GEORGE, GREG STITT, and HERMAN LAM, NSF Center for High-Performance Reconfigurable Computing (CHREC) University of Florida Reconfigurable computing (RC) is emerging as a promising area for embedded computing, in which complex systems must balance performance, flexibility, cost, and power. The difficulty associated with RC development suggests improved strategic planning and analysis techniques can save significant development time and effort. This article presents a new abstract modeling language and environment, the RC Modeling Language (RCML), to facilitate efficient design space exploration of RC systems at the estimation modeling level, that is, before building a functional implementation. Two integrated analysis tools and case studies, one analytical and one simulative, are presented illustrating relatively accurate automated analysis of systems modeled in RCML. Categories and Subject Descriptors: C.4 [Computer Systems Organization]: Performance of Systems-- Modeling techniques; I.6.5 [Simulation and Modeling]: Model Development--Modeling methodologies; C.0 [Computer Systems Organization]: General--System architectures General Terms: Design, Languages Additional Key Words and Phrases: Reconfigurable computing, estimation modeling, performance prediction ACM Reference Format: Reardon, C., Holland, B., George, A. D., Stitt, G., and Lam, H. 2012. RCML: An environment for estimation modeling http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Embedded Computing Systems (TECS) Association for Computing Machinery

RCML: An Environment for Estimation Modeling of Reconfigurable Computing Systems

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References (36)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2012 by ACM Inc.
ISSN
1539-9087
DOI
10.1145/2331147.2331153
Publisher site
See Article on Publisher Site

Abstract

RCML: An Environment for Estimation Modeling of Reconfigurable Computing Systems CASEY REARDON, BRIAN HOLLAND, ALAN D. GEORGE, GREG STITT, and HERMAN LAM, NSF Center for High-Performance Reconfigurable Computing (CHREC) University of Florida Reconfigurable computing (RC) is emerging as a promising area for embedded computing, in which complex systems must balance performance, flexibility, cost, and power. The difficulty associated with RC development suggests improved strategic planning and analysis techniques can save significant development time and effort. This article presents a new abstract modeling language and environment, the RC Modeling Language (RCML), to facilitate efficient design space exploration of RC systems at the estimation modeling level, that is, before building a functional implementation. Two integrated analysis tools and case studies, one analytical and one simulative, are presented illustrating relatively accurate automated analysis of systems modeled in RCML. Categories and Subject Descriptors: C.4 [Computer Systems Organization]: Performance of Systems-- Modeling techniques; I.6.5 [Simulation and Modeling]: Model Development--Modeling methodologies; C.0 [Computer Systems Organization]: General--System architectures General Terms: Design, Languages Additional Key Words and Phrases: Reconfigurable computing, estimation modeling, performance prediction ACM Reference Format: Reardon, C., Holland, B., George, A. D., Stitt, G., and Lam, H. 2012. RCML: An environment for estimation modeling

Journal

ACM Transactions on Embedded Computing Systems (TECS)Association for Computing Machinery

Published: Aug 1, 2012

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