Multi-Criteria Protein Structure Comparison (MC-PSC) is one of the Grand Challenge Applications (GCAs) 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 National Grid Service (NGS) infrastructure are reported in terms of speedup, efficiency and cross-site communication overhead. © 2011 Springer-Verlag Berlin Heidelberg.

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

Folino;
2011

Abstract

Multi-Criteria Protein Structure Comparison (MC-PSC) is one of the Grand Challenge Applications (GCAs) 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 National Grid Service (NGS) infrastructure are reported in terms of speedup, efficiency and cross-site communication overhead. © 2011 Springer-Verlag Berlin Heidelberg.
2011
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
9783642218774
Communication overheads
Distributed algorithm
Grand Challenge
Grid
Grid environments
Multi-criteria
National Grid
Protein Structure Comparison
Proteomics
Algorithms
Bioinformatics
Grid computing
Molecular biology
Parallel architectures
Proteins
Scalability
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/192125
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