DocumentCode :
703840
Title :
On-chip network-enabled many-core architectures for computational biology applications
Author :
Majumder, Turbo ; Pande, Partha Pratim ; Kalyanaraman, Ananth
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Delhi, New Delhi, India
fYear :
2015
fDate :
9-13 March 2015
Firstpage :
259
Lastpage :
264
Abstract :
Computational molecular biology applications are at the heart of the backend processing in cyber-physical systems when applied to domains such as drug discovery, personalized medicine and genetic disease risk assessment. These applications are characterized by the preponderance of data and computational complexity, and yet require reasonably fast processing in order to have any meaningful impact. As such, hardware acceleration for these applications have generated a lot of research interest. In this paper, we discuss the superiority of Network-on-Chip (NoC)-enabled many-core platforms over other conventional platforms in both the quantum of speedup achieved and the amount of energy consumed. We hence posit that research in NoC-enabled platforms for CPS applications will be a major enabler of future scientific and medical breakthroughs.
Keywords :
biology computing; multiprocessing systems; network-on-chip; NoC-enabled platforms; computational biology applications; computational molecular biology applications; cyber-physical systems; onchip network-enabled many-core architectures; Acceleration; Computer architecture; Field programmable gate arrays; Hardware; Kernel; Phylogeny; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015
Conference_Location :
Grenoble
Print_ISBN :
978-3-9815-3704-8
Type :
conf
Filename :
7092392
Link To Document :
بازگشت