Paper
24 July 2001 Reconfigurable processors for handhelds and wearables: application analysis
Rolf Enzler, Marco Platzner, Christian Plessl, Lothar Thiele, Gerhard Troester
Author Affiliations +
Proceedings Volume 4525, Reconfigurable Technology: FPGAs and Reconfigurable Processors for Computing and Communications III; (2001) https://doi.org/10.1117/12.434376
Event: ITCom 2001: International Symposium on the Convergence of IT and Communications, 2001, Denver, CO, United States
Abstract
In this paper, we present the analysis of applications from the domain of handheld and wearable computing. This analysis is the first step to derive and evaluate design parameters for dynamically reconfigurable processors. We discuss the selection of representative benchmarks for handhelds and wearables and group the applications into multimedia, communications, and cryptography programs. We simulate the applications on a cycle-accurate processor simulator and gather statistical data such as instruction mix, cache hit rates and memory requirements for an embedded processor model. A breakdown of the executed cycles into different functions identifies the most compute-intensive code sections - the kernels. Then, we analyze the applications and discuss parameters that strongly influence the design of dynamically reconfigurable processors. Finally, we outline the construction of a parameterizable simulation model for a reconfigurable unit that is attached to a processor core.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rolf Enzler, Marco Platzner, Christian Plessl, Lothar Thiele, and Gerhard Troester "Reconfigurable processors for handhelds and wearables: application analysis", Proc. SPIE 4525, Reconfigurable Technology: FPGAs and Reconfigurable Processors for Computing and Communications III, (24 July 2001); https://doi.org/10.1117/12.434376
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Cited by 5 scholarly publications.
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KEYWORDS
Multimedia

Cryptography

Logic

Performance modeling

Data modeling

Process modeling

Statistical analysis

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