Title :
Hardware Accelerators in Computational Biology: Application, Potential, and Challenges
Author :
Majumder, Turbo ; Pande, Partha Pratim ; Kalyanaraman, Ananth
Author_Institution :
Dept. of ElectrHauz Khas. Eng., Indian Inst. of Technol. Delhi, New Delhi, India
Abstract :
Computational biology is increasingly relying on hardware accelerators to allow data processing to keep up with the increasing amount of data generated from biology applications. This paper gives an introduction to the area of hardware accelerators for computational biology and a comparative study of a set of biological applications.
Keywords :
biology computing; data analysis; field programmable gate arrays; graphics processing units; multiprocessing systems; network-on-chip; biology applications; computational biology; data processing; hardware accelerators; Acclerators; Field programmable gate arrays; Graphics processing units; Hardware; Multicore processing; Phylogeny; FPGA; GPU; computational biology; hardware accelerator; multicore; network-on-chip; phylogenetics; sequence analysis;
Journal_Title :
Design & Test, IEEE
DOI :
10.1109/MDAT.2013.2290118
