FASTER

Facilitating analysis and synthesis technologies for effective reconfiguration

Conference Paper (2012)
Author(s)

Dionisios N. Pnevmatikatos (Foundation for Research and Technology - Hellas (FORTH))

T. Becker (Imperial College London)

A. Brokalakis (Synelixis)

K. Bruneel (Universiteit Gent)

G. Gaydadjiev (Chalmers University of Technology)

W. Luk (Imperial College London)

K. Papadimitriou (Foundation for Research and Technology - Hellas (FORTH))

I Papaefstathiou (Synelixis)

Oliver Pell (Maxeler Technologies Ltd.)

C. Pilato (Politecnico di Milano)

M. Robart (STMicroelectronics)

M. D. Santambrogio (Politecnico di Milano)

D. Sciuto (Politecnico di Milano)

D. Stroobandt (Universiteit Gent)

T. Todman (Imperial College London)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1109/DSD.2012.59
More Info
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Publication Year
2012
Language
English
Affiliation
External organisation
Pages (from-to)
234-241
ISBN (print)
9780769547985

Abstract

The FASTER project aims to ease the definition, implementation and use of dynamically changing hardware systems. Our motivation stems from the promise reconfigurable systems hold for achieving better performance and extending product functionality and lifetime via the addition of new features that work at hardware speed. This is a clear advantage over the more straightforward software component adaptivity. However, designing a changing hardware system is both challenging and time consuming. The FASTER project will facilitate the use of reconfigurable technology by providing a complete methodology that enables designers to easily specify, analyse, implement and verify applications on platforms with general-purpose processors and acceleration modules implemented in the latest reconfigurable technology. To better adapt to different application requirements, the tool-chain will support both region-based and micro-reconfiguration and provide a flexible run-time system that will efficiently manage the reconfigurable resources. We will use applications from the embedded, high performance computing, and desktop domains to demonstrate the potential benefits of the FASTER tools on metrics such as performance, power consumption and total ownership cost.

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