Parallel computational techniques for the analysis of sedimentation velocity experiments in UltraScan

Emre H Brookes, Borries Demeler

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

The advent of parallel computing technology and low-cost computing hardware has facilitated the adoption of high-performance computing tools for the analysis of sedimentation data. Over the past 15 years, we have developed the UltraScan software (Demeler et al., http://ultrascan.uthscsa.edu) to support sedimentation analysis, experimental design, and data management. We describe here recent extensions and advances in methodology that have been adapted in UltraScan. High-performance computing methods implemented on parallel supercomputers utilizing grid computing technology are used to analyze sedimentation experiments at much higher resolution than was previously possible. We discuss the implementation of parallel computing in three novel algorithms used in UltraScan for modeling of sedimentation velocity experiments and provide guidelines for effective data analysis.

Original languageEnglish (US)
Pages (from-to)139-148
Number of pages10
JournalColloid and Polymer Science
Volume286
Issue number2
DOIs
StatePublished - Feb 2008

Fingerprint

Sedimentation
data management
supercomputers
Parallel processing systems
hardware
Experiments
methodology
computer programs
Supercomputers
Grid computing
high resolution
Design of experiments
Information management
Hardware
Costs

Keywords

  • Genetic algorithms
  • Monte Carlo
  • MPI
  • Two-dimensional spectrum analysis

ASJC Scopus subject areas

  • Physical and Theoretical Chemistry
  • Polymers and Plastics
  • Materials Chemistry
  • Colloid and Surface Chemistry

Cite this

Parallel computational techniques for the analysis of sedimentation velocity experiments in UltraScan. / Brookes, Emre H; Demeler, Borries.

In: Colloid and Polymer Science, Vol. 286, No. 2, 02.2008, p. 139-148.

Research output: Contribution to journalArticle

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