Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications
Nonfiction, Science & Nature, Technology, Electronics, Circuits, Computers, Advanced Computing, Computer Science
| Author: | B. Sharat Chandra Varma, Kolin Paul, M. Balakrishnan | ISBN: | 9789811005916 |
| Publisher: | Springer Singapore | Publication: | March 2, 2016 |
| Imprint: | Springer | Language: | English |
| Author: | B. Sharat Chandra Varma, Kolin Paul, M. Balakrishnan |
| ISBN: | 9789811005916 |
| Publisher: | Springer Singapore |
| Publication: | March 2, 2016 |
| Imprint: | Springer |
| Language: | English |
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.
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.
