Wireless NoC Platforms With Dynamic Task Allocation for Maximum Likelihood Phylogeny Reconstruction

Author

Majumder, Turbo ; Pande, Partha Pratim ; Kalyanaraman, Ananth

Author_Institution

Indian Inst. of Technol., New Delhi, New Delhi, India

Volume

31

Issue

3

fYear

2014

fDate

Jun-14

Firstpage

54

Lastpage

64

Abstract

Maximum likelihood (ML) phylogeny is an important statistical approach in computational biology that estimates the most likely evolutionary relationship among a given set of species. This paper demonstrates how wireless network-on-chip (WiNoC)-based multicore platforms can be employed to achieve faster time-to-solution ML phylogeny reconstruction.

Keywords

bioinformatics; evolution (biological); genetics; maximum likelihood estimation; multiprocessing systems; network-on-chip; resource allocation; computational biology; dynamic task allocation; maximum likelihood phylogeny reconstruction; statistical approach; time-to-solution ML phylogeny reconstruction; wireless NoC platforms; wireless network-on-chip-based multicore platforms; Cloud computing; Computer architecture; Embedded systems; Hardware; Maximum likelihood estimation; Phylogeny; System-on-chip; Wireless communication; Network-on-chip; long-range links; multicore; phylogeny reconstruction;

fLanguage

English

Journal_Title

Design & Test, IEEE

Publisher

ieee

ISSN

2168-2356

Type

jour

DOI

10.1109/MDAT.2013.2288778

Filename

6655973