Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
421539 | Electronic Notes in Theoretical Computer Science | 2013 | 8 Pages |
Abstract
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.
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