Review of Parallel Computing Methods and Tools for FPGA Technology

Radosław Cieszewski , Maciej Grzegorz Linczuk , Krzysztof Poźniak , Ryszard Romaniuk

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.
Author Radosław Cieszewski (FEIT / PE)
Radosław Cieszewski,,
- The Institute of Electronic Systems
, Maciej Grzegorz Linczuk (FEIT / PE)
Maciej Grzegorz Linczuk,,
- The Institute of Electronic Systems
, Krzysztof Poźniak (FEIT / PE)
Krzysztof Poźniak,,
- The Institute of Electronic Systems
, Ryszard Romaniuk (FEIT / PE)
Ryszard Romaniuk,,
- The Institute of Electronic Systems
Pages890321-1-890321-13
Book Romaniuk Ryszard (eds.): Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013, vol. 8903, 2013, SPIE P.O. Box 10, Bellingham, Washington 98227-0010 USA , SPIE, ISBN 9780819497857, [ISSN 0277-786X ], 410 p., DOI:10.1117/12.2049644
Keywords in EnglishParallel Computing, Algorithmic Synthesis, High-Level Synthesis, Behavioral Synthesis, Elec- tronic System Level Synthesis, FPGA, ASIC, DSP, High-Energy Physics Experiment, KX1, Fine-Grained Par- allelism, Coarse-Grained Parallelism
DOIDOI:10.1117/12.2035385
Languageen angielski
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 10.0, 29-08-2020, BookChapterMatConfByIndicator
Ministerial score (2013-2016) = 15.0, 29-08-2020, BookChapterMatConfByIndicator
Publication indicators WoS Citations = 1; Scopus Citations = 2; GS Citations = 10.0
Citation count*10 (2020-09-17)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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