Field-Programmable Gate Array (FPGA) Technologies for High Performance Instrumentation
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Field-Programmable Gate Array (FPGA) Technologies for High Performance Instrumentation

Julio Daniel Dondo Gazzano, Maria Liz Crespo, Andres Cicuttin, Fernando Rincon Calle
Indexed In: SCOPUS View 1 More Indices
Release Date: July, 2016|Copyright: © 2016 |Pages: 306
DOI: 10.4018/978-1-5225-0299-9
ISBN13: 9781522502999|ISBN10: 1522502998|EISBN13: 9781522503002
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Description & Coverage
Description:

Field-Programmable Gate Array (FPGA) technologies have increased in popularity in recent years due to their adaptability and high computing potential. Further research in this area illustrates the potential for further advancements and applications of this useful technology.

Field-Programmable Gate Array (FPGA) Technologies for High Performance Instrumentation presents experimental and theoretical research on FPGA-based design and the development of virtual scientific instrumentation that can be used by a broad segment of scientists across a variety of research fields. Focusing on crucial innovations and algorithms for signal processing, data acquisition mechanisms, FPGA-based hardware design, and parallel computing, this publication is a critical resource for researchers, development engineers, and graduate-level students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Embedded System Development
  • High-Speed Data Acquisitions
  • Parallel Computing
  • Reconfigurable Computer Architectures
  • Scientific Instrumentation
  • System Testing and Verification
Reviews & Statements

Editors Dondo Gazzano, Crespo, Cicuttin, and Rincon Calle present readers with a collection of professional and academic perspectives on contemporary theoretical and experimental research on field-programmable gate array (FPGA) for high performance instrumentation and the development of virtual scientific instrumentation and its potential applications. The editors have organized the ten selections that make up the chapters of the main body of the text in four parts devoted to nuclear physics applications, chaotic maps, virtual instrumentation, and various other applications.

– ProtoView Reviews
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Editor/Author Biographies
Julio Daniel Dondo Gazzano has obtained the degree in Electrical-Eectronic Engineering, (six years of university studies), the Master degree in Software Engineering from the National University of San Luis, Argentina, in 1997 and 2007 respectively, and the Ph.D degree from the University of Castilla-La Mancha in 2010. He is currently working as associate professor and researcher at the University of Castilla-La Mancha. His research fields are reconfigurable hardware, System on Chip, Heterogeneous Embedded Systems, High Performance Computing. He is author and co-author of more than 45 scientific papers in journals and conferences.
Maria Liz Crespo has received her degree in Computer Sciences in the National University of San Luis, San Luis, Argentina, and her PhD in Computer Sciences, at the ICTP, INFN, Trieste, Italy, and National University of San Luis, San Luis, Argentina. She is nowadays working as a Research Officer at the Abdus Salam International Centre for Theoretical Physics (ICTP) and she is an Associate Researcher at the Italian National Institute for Nuclear Physics (INFN), Italy She is author and coauthor of more than 65 research papers in journals and conferences. She has also organized several international hands-on training activities on FPGA and Programmable SoC for Scientific Instrumentation.
Andres Cicuttin has obtained his degree of Graduated in Physics, National University of La Plata, Argentina, 1992, and Laurea in Fisica recognised by the National University of Trieste, Italy, 1993. His present positions are Technical Assistant at the Multidisciplinary Laboratory of the Abdus Salam International Centre for Theoretical Physics and Associate Researcher at the Italian National Institute for Nuclear Physics (INFN). He is co-author of more than 50 articles in prestigious journals and conference papers. He has also organized and directed numerous international workshops on programmable logic devices for scientific instrumentation and high education.
Fernando Rincón Calle completed the M.S. in Computer Science from the Autonomous University of Barcelona in 1996. In 2003 he received the Ph.D degree in Computer Engineering from the University of Castilla-La Mancha, where he currently works as an Assistant Professor in the School of Computer Engineering, located in Ciudad Real (Spain). He is currently serving as the Head of the Technology and Information Systems Department. His research interests include Systems-On-Chip integration, Hw run-time reconfiguration, and heterogeneous distributed systems. He is also member of the IEEE and ACM.
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