An adaptive grid implementation of DNA sequence alignment
Future Generation Computer Systems
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Future Generation Computer Systems
An adaptive grid implementation of DNA sequence alignment
Future Generation Computer Systems
Computational experience with branch, cut and price algorithms in grid environments
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
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HiPC'04 Proceedings of the 11th international conference on High Performance Computing
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The paper studies the performance of computational biology applications on a hierarchical Grid system. These applications are computationally intensive and range from regular patterns (such as database searching applications) to irregular structured patterns (such as building phylogenetic trees). Grid systems are characterized by resources with different computational power and by networks' with widely varying bandwidth. This makes the development or adaptation of computational biology applications on Grid systems challenging. In this paper, we demonstrate how to develop or adapt computational biology applications for hierarchical Grid systems in order to achieve good performance. In addition, we investigate how different bandwidths between computational resources in Grid systems influence the applications' performance.