[PDF][PDF] Impact of parallel computing on bioinformatics algorithms

O Gupta, S Rani, DC Pant - Proceedings 5th IEEE International …, 2011 - apiit.edu.in
O Gupta, S Rani, DC Pant
Proceedings 5th IEEE International Conference on Advanced Computing and …, 2011apiit.edu.in
The biggest challenge bioinformatics facing today is to manage, analyze and process
volumous genome data. Such analysis and processing is very impractical with the help of
uniprocessor computers, so the need of parallel computing in bioinformatics arises. Now
distributed computers, cloud computers and multicore processors are available at very low
cost to deal with bulk amount of genome data. Along with these technological developments
in distributed computing, many efforts are being done by the scientists and bioinformaticians …
Abstract
The biggest challenge bioinformatics facing today is to manage, analyze and process volumous genome data. Such analysis and processing is very impractical with the help of uniprocessor computers, so the need of parallel computing in bioinformatics arises. Now distributed computers, cloud computers and multicore processors are available at very low cost to deal with bulk amount of genome data. Along with these technological developments in distributed computing, many efforts are being done by the scientists and bioinformaticians to parallelize and implement the algorithms to take the maximum advantage of the additional computational power.
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