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Article

Field Programmable Gate Array Applications—A Scientometric Review

1
Departamento de Telemática Universidad del Cauca, Calle 5, No. 4-70, Popayan, Cauca 190002, Colombia
2
Intel Corporation, 2111 NE 25th Ave., Hillsboro, OR 97124, USA
*
Author to whom correspondence should be addressed.
Computation 2019, 7(4), 63; https://doi.org/10.3390/computation7040063
Received: 9 September 2019 / Revised: 25 October 2019 / Accepted: 25 October 2019 / Published: 11 November 2019
(This article belongs to the Special Issue Bibliometrics)
Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to FPGA started in 1992 and, up to now, we found more than 70,000 documents in the two leading scientific databases (Scopus and Clarivative Web of Science). These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers’ navigation systems. This paper reviews the top FPGAs’ applications by a scientometric analysis in ScientoPy, covering publications related to FPGAs from 1992 to 2018. Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning, digital signal processing, image and video processing, big data, computer algorithms and other applications. Also, we present an evolution and trend analysis of the related applications. View Full-Text
Keywords: FPGA; Field Programmable Gate Array; applications; digital control; networking; security; machine learning; big data; image processing; ScientoPy FPGA; Field Programmable Gate Array; applications; digital control; networking; security; machine learning; big data; image processing; ScientoPy
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MDPI and ACS Style

Ruiz-Rosero, J.; Ramirez-Gonzalez, G.; Khanna, R. Field Programmable Gate Array Applications—A Scientometric Review. Computation 2019, 7, 63. https://doi.org/10.3390/computation7040063

AMA Style

Ruiz-Rosero J, Ramirez-Gonzalez G, Khanna R. Field Programmable Gate Array Applications—A Scientometric Review. Computation. 2019; 7(4):63. https://doi.org/10.3390/computation7040063

Chicago/Turabian Style

Ruiz-Rosero, Juan, Gustavo Ramirez-Gonzalez, and Rahul Khanna. 2019. "Field Programmable Gate Array Applications—A Scientometric Review" Computation 7, no. 4: 63. https://doi.org/10.3390/computation7040063

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