Distributed computing has been considered for decades as a promising way of speeding up software execution, resulting in a valuable collection of safe and efficient concurrent algorithms. With the pervasion of multi-core processors, parallelization has moved to the center of attention with new challenges, especially regarding scalability to tens or even hundreds of parallel cores. In this paper, we present a scalable multi-core tool for the metabolomics community. This tool addresses the problem of metabolite identification which is currently a bottleneck in metabolomics pipeline.
Authors from the NMC:
DOI:
10.1016/j.entcs.2013.11.005
Pages:
2013; 299: 53-60
Published in:
Electronic Notes in Theoretical Computer Science
Date of publication:
December, 2013
Project:
Status of the publication:
Published/accepted
Link to publication: