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What is DAGDA

Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare
The new data manager for the DIET middleware which allows data explicit or implicit replications and advanced data management on the Grid. It was designed to be backward compatible with previously developed applications for DIET which benefit transparently of the data replications.
Published in Chapter:
High Performance BLAST Over the Grid
Vincent Breton (CNRS Clermont-Ferrand, France), Eddy Caron (Universite de Lyon, France), Frederic Desprez (INRIA Universite de Lyon, France), and Gael Le Mahec (CNRS Clermond-Ferrand, France)
DOI: 10.4018/978-1-60566-374-6.ch007
Abstract
As grids become more and more attractive for solving complex problems with high computational and storage requirements, bioinformatics starts to be ported on large scale platforms. The BLAST kernel, one of the main cornerstone of high performance genomics, was one the first application ported on such platform. However, if a simple parallelization was enough for the first proof of concept, its use in production platform needed more optimized algorithms. In this chapter, we review existing parallelization and “gridification” approaches as well as related issues such as data management and replication, and a case study using the DIET middleware over the Grid’5000 experimental platform.
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