FPGA-Based Acceleration of Protein Docking

B Sharat Chandra Varma; Kolin Paul; M Balakrishnan

doi:10.1007/978-981-10-0591-6_4

FPGA-Based Acceleration of Protein Docking

B Sharat Chandra Varma
, Kolin Paul
, M Balakrishnan

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

In this chapter, we discuss FPGA-based acceleration of a commonly used protein docking application. The docking application is compute intensive and involves floating-point computations. We used the methodology discussed in Chap. 3 to accelerate the application. Accordingly, we explain the identification of kernel from the software implementation and their FPGA implementation to get performance benefits.

Original language	English
Title of host publication	Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications
Publisher	Springer
Pages	39-54
Number of pages	16
DOIs	https://doi.org/10.1007/978-981-10-0591-6_4
Publication status	Published (in print/issue) - 3 Mar 2016

Access to Document

10.1007/978-981-10-0591-6_4

Cite this

@inbook{999b361e9e134ed29a35ea29f207dd0e,

title = "FPGA-Based Acceleration of Protein Docking",

abstract = "In this chapter, we discuss FPGA-based acceleration of a commonly used protein docking application. The docking application is compute intensive and involves floating-point computations. We used the methodology discussed in Chap. 3 to accelerate the application. Accordingly, we explain the identification of kernel from the software implementation and their FPGA implementation to get performance benefits.",

author = "Varma, \{B Sharat Chandra\} and Kolin Paul and M Balakrishnan",

year = "2016",

month = mar,

day = "3",

doi = "10.1007/978-981-10-0591-6\_4",

language = "English",

pages = "39--54",

booktitle = "Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications",

publisher = "Springer",

address = "Switzerland",

}

TY - CHAP

T1 - FPGA-Based Acceleration of Protein Docking

AU - Varma, B Sharat Chandra

AU - Paul, Kolin

AU - Balakrishnan, M

PY - 2016/3/3

Y1 - 2016/3/3

N2 - In this chapter, we discuss FPGA-based acceleration of a commonly used protein docking application. The docking application is compute intensive and involves floating-point computations. We used the methodology discussed in Chap. 3 to accelerate the application. Accordingly, we explain the identification of kernel from the software implementation and their FPGA implementation to get performance benefits.

AB - In this chapter, we discuss FPGA-based acceleration of a commonly used protein docking application. The docking application is compute intensive and involves floating-point computations. We used the methodology discussed in Chap. 3 to accelerate the application. Accordingly, we explain the identification of kernel from the software implementation and their FPGA implementation to get performance benefits.

U2 - 10.1007/978-981-10-0591-6_4

DO - 10.1007/978-981-10-0591-6_4

M3 - Chapter

SP - 39

EP - 54

BT - Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications

PB - Springer

ER -

FPGA-Based Acceleration of Protein Docking

Abstract

Access to Document

Fingerprint

Cite this