on the scalability of multi-criteria protein structure comparison in the grid

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ID: 239148
2013
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Abstract
MC-PSC (Multi-Criteria Protein Structure Comparison) is one of the GCAs (Grand Challenge Applications) in the field of structural proteomics. The solution of the MC-PSC grand challenge requires the use of distributed algorithms, architectures and environments. This paper is aimed at the analysis of the scalability of our newly developed distributed algorithm for MC-PSC in the grid environment. The scalability in the grid environment indicates the capacity of the distributed algorithm to effectively utilize an increasing number of processors across multiple sites. The results of the experiments conducted on the UK's NGS (National Grid Service) infrastructure are reported in terms of speedup, efficiency and cross-site communication overhead.
Reference Key
2013mehranon Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Gianluigi Folino ;Azhar Ali Shah;Natalio Krasnogor
Journal parkinson's disease
Year 2013
DOI
DOI not found
URL
http://publications.muet.edu.pk/research_papers/pdf/pdf730.pdf
Keywords
scalability grid civil engineering (general)science

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