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Proceedings Paper

Review of parallel computing methods and tools for FPGA technology
Author(s): Radosław Cieszewski; Maciej Linczuk; Krzysztof Pozniak; Ryszard Romaniuk
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Paper Abstract

Parallel computing is emerging as an important area of research in computer architectures and software systems. Many algorithms can be greatly accelerated using parallel computing techniques. Specialized parallel computer architectures are used for accelerating speci c tasks. High-Energy Physics Experiments measuring systems often use FPGAs for ne-grained computation. FPGA combines many bene ts of both software and ASIC implementations. Like software, the mapped circuit is exible, and can be recon gured over the lifetime of the system. FPGAs therefore have the potential to achieve far greater performance than software as a result of bypassing the fetch-decode-execute operations of traditional processors, and possibly exploiting a greater level of parallelism. Creating parallel programs implemented in FPGAs is not trivial. This paper presents existing methods and tools for ne-grained computation implemented in FPGA using Behavioral Description and High Level Programming Languages.

Paper Details

Date Published: 25 October 2013
PDF: 13 pages
Proc. SPIE 8903, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013, 890321 (25 October 2013); doi: 10.1117/12.2035385
Show Author Affiliations
Radosław Cieszewski, Warsaw Univ. of Technology (Poland)
Maciej Linczuk, Warsaw Univ. of Technology (Poland)
Krzysztof Pozniak, Warsaw Univ. of Technology (Poland)
Ryszard Romaniuk, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 8903:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013
Ryszard S. Romaniuk, Editor(s)

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