Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications / by B Sharat Chandra Varma, Kolin Paul, M Balakrishnan
By: Varma, B. Sharat Chandra.
Contributor(s): Paul, Kolin.
| Balakrishnan, M.
Material type:
E-bookSeries: Springer Series in Advanced Microelectronics; 5555Publisher: Singapore : Springer, 2016Edition: 1st ed.Description: 1 recurso en línea (XV, 122 p.) 54 il., 40 il. col..ISBN: 9789811005916.Subject: Bioinformática
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK7895.G36 V376 2016 EB (Browse shelf(Opens below)) | .i11601826 | Acceso electrónico | eBOOK .i11601826 |
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| TK7895 .G36 P364 2015 EB Three-Dimensional Design Methodologies for Tree-based FPGA Architecture | TK7895 .G36 S567 2015 EB FPGA Design Best Practices for Team-based Reuse | TK7895.G36 T545 2016 EB Engineering Applications of FPGAs : Chaotic Systems, Artificial Neural Networks, Random Number Generators, and Secure Communication Systems | TK7895.G36 V376 2016 EB Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications | TK7895.G36 W353 2018 EB Design of FPGA-Based Computing Systems with OpenCL | TK7895.M4 2009 EB The Memory System : You Can't Avoid It, You Can't Ignore It, You Can't Fake It | TK7895.M4 2011 EB Multi-Core Cache Hierarchies |
Introduction -- Related Work -- Methodology for Implementing Accelerators -- FPGA based Acceleration of Protein Docking -- FPGA based Acceleration of De Novo Genome Assembly -- Design of Accelerators with HEBs -- System Level Design Space Exploration -- Future Directions.
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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