Review of parallel computing methods and tools for FPGA technology

Radosław Cieszewski; Maciej Linczuk; Krzysztof Pozniak; Ryszard Romaniuk

doi:10.1117/12.2035385

25 October 2013 Review of parallel computing methods and tools for FPGA technology

Radosław Cieszewski, Maciej Linczuk, Krzysztof Pozniak, Ryszard Romaniuk

Proceedings Volume 8903, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013; 890321 (2013) https://doi.org/10.1117/12.2035385
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013, 2013, Wilga, Poland

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.

Citation Download Citation

Radosław Cieszewski, Maciej Linczuk, Krzysztof Pozniak, and Ryszard Romaniuk "Review of parallel computing methods and tools for FPGA technology", Proc. SPIE 8903, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013, 890321 (25 October 2013); https://doi.org/10.1117/12.2035385

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