Performance Matching of Hardware Acceleration Engines for Heterogeneous MPSoC using Modular Performance Analysis

Dutta H, Hannig F, Teich J (2009)


Publication Type: Conference contribution

Publication year: 2009

Journal

Publisher: Springer-verlag

Edited Volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Series: Lecture Notes in Computer Science (LNCS)

Book Volume: 5455

Pages Range: 233-245

Conference Proceedings Title: Proceedings of the 22nd International Conference on Architecture of Computing Systems

Event location: Delft NL

ISBN: 978-3-642-00453-7

DOI: 10.1007/978-3-642-00454-4_23

Abstract

In order to meet demanding challenges of increasing computational requirements and stringent power constraints, there is a gradual trend towards heterogeneous multi-processor system-on-chip (MPSoC) designs integrating application specific acceleration engines. One major problem faced by the design tools for mapping of algorithms onto MPSoC architectures is the dimensioning of system components through performance analysis. In this paper, we propose a fast and accurate methodology for rate matching of statically scheduled acceleration engines using modular performance analysis. Given a set of Pareto-optimal hardware accelerator designs and an input workload behavior, the proposed methodology determines cost efficient hardware accelerators that can handle the workload. A motion JPEG case study illustrates the benefit of coupling high level synthesis tools with performance analysis. © 2009 Springer Berlin Heidelberg.

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APA:

Dutta, H., Hannig, F., & Teich, J. (2009). Performance Matching of Hardware Acceleration Engines for Heterogeneous MPSoC using Modular Performance Analysis. In Proceedings of the 22nd International Conference on Architecture of Computing Systems (pp. 233-245). Delft, NL: Springer-verlag.

MLA:

Dutta, Hritam, Frank Hannig, and Jürgen Teich. "Performance Matching of Hardware Acceleration Engines for Heterogeneous MPSoC using Modular Performance Analysis." Proceedings of the 22nd International Conference on Architecture of Computing Systems (ARCS), Delft Springer-verlag, 2009. 233-245.

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