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Architecture exploration of FPGA based accelerators for bioinformatics applications

This book presents an evaluation methodology to design future FPGA fabrics incorporating hard embedded blocks (HEBs) to accelerate applications. This methodology will be useful for selection of blocks to be embedded into the fabric and for evaluating the performance gain that can be achieved by such...

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Detalles Bibliográficos
Autores principales: Varma, B Sharat Chandra, Paul, Kolin, Balakrishnan, M
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-981-10-0591-6
http://cds.cern.ch/record/2143548
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author Varma, B Sharat Chandra
Paul, Kolin
Balakrishnan, M
author_facet Varma, B Sharat Chandra
Paul, Kolin
Balakrishnan, M
author_sort Varma, B Sharat Chandra
collection CERN
description This book presents an evaluation methodology to design future FPGA fabrics incorporating hard embedded blocks (HEBs) to accelerate applications. This methodology will be useful for selection of blocks to be embedded into the fabric and for evaluating the performance gain that can be achieved by such an embedding. The authors illustrate the use of their methodology by studying the impact of HEBs on two important bioinformatics applications: protein docking and genome assembly. The book also explains how the respective HEBs are designed and how hardware implementation of the application is done using these HEBs. It shows that significant speedups can be achieved over pure software implementations by using such FPGA-based accelerators. The methodology presented in this book may also be used for designing HEBs for accelerating software implementations in other domains besides bioinformatics. This book will prove useful to students, researchers, and practicing engineers alike.
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institution Organización Europea para la Investigación Nuclear
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publisher Springer
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spelling cern-21435482021-04-21T19:44:57Zdoi:10.1007/978-981-10-0591-6http://cds.cern.ch/record/2143548engVarma, B Sharat ChandraPaul, KolinBalakrishnan, MArchitecture exploration of FPGA based accelerators for bioinformatics applicationsEngineeringThis book presents an evaluation methodology to design future FPGA fabrics incorporating hard embedded blocks (HEBs) to accelerate applications. This methodology will be useful for selection of blocks to be embedded into the fabric and for evaluating the performance gain that can be achieved by such an embedding. The authors illustrate the use of their methodology by studying the impact of HEBs on two important bioinformatics applications: protein docking and genome assembly. The book also explains how the respective HEBs are designed and how hardware implementation of the application is done using these HEBs. It shows that significant speedups can be achieved over pure software implementations by using such FPGA-based accelerators. The methodology presented in this book may also be used for designing HEBs for accelerating software implementations in other domains besides bioinformatics. This book will prove useful to students, researchers, and practicing engineers alike.Springeroai:cds.cern.ch:21435482016
spellingShingle Engineering
Varma, B Sharat Chandra
Paul, Kolin
Balakrishnan, M
Architecture exploration of FPGA based accelerators for bioinformatics applications
title Architecture exploration of FPGA based accelerators for bioinformatics applications
title_full Architecture exploration of FPGA based accelerators for bioinformatics applications
title_fullStr Architecture exploration of FPGA based accelerators for bioinformatics applications
title_full_unstemmed Architecture exploration of FPGA based accelerators for bioinformatics applications
title_short Architecture exploration of FPGA based accelerators for bioinformatics applications
title_sort architecture exploration of fpga based accelerators for bioinformatics applications
topic Engineering
url https://dx.doi.org/10.1007/978-981-10-0591-6
http://cds.cern.ch/record/2143548
work_keys_str_mv AT varmabsharatchandra architectureexplorationoffpgabasedacceleratorsforbioinformaticsapplications
AT paulkolin architectureexplorationoffpgabasedacceleratorsforbioinformaticsapplications
AT balakrishnanm architectureexplorationoffpgabasedacceleratorsforbioinformaticsapplications