Open AccessProspective Application of Parallelization to Accelerate Biological Model Simulations
Author(s) -
Kishore G R*,
D. R.
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d7405.118419
Subject(s) - computer science , computation , field (mathematics) , architecture , parallel computing , computational science , cuda , algorithm , art , mathematics , pure mathematics , visual arts
Biological systems can be modeled using mathematical techniques to carry out in silico experiments and research. These models tend to have a lot of state variables and hence take a long time to simulate the model. Modern GPU architecture provides a framework for parallelizing computation-heavy processes. With the advent of GPU technology, it is increasingly used in the field of computational biology, aiming to reduce simulation times and increase the size of inputs. This paper surveys the use of GPU architecture in the field of biological modeling..