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Performance optimization of large non-negatively constrained least squares problems with an application in biophysics

Published: 02 August 2010 Publication History

Abstract

Solving large non-negatively constrained least squares systems is frequently used in the physical sciences to estimate model parameters which best fit experimental data. Analytical Ultracentrifugation (AUC) is an important hydrodynamic experimental technique used in biophysics to characterize macromolecules and to determine parameters such as molecular weight and shape. We previously developed a parallel divide and conquer method to facilitate solving the large systems obtained from AUC experiments. New AUC instruments equipped with multi-wavelength (MWL) detectors have recently increased the data sizes by three orders of magnitude. Analyzing the MWL data requires significant compute resources. To better utilize these resources, we introduce a procedure allowing the researcher to optimize the divide and conquer scheme along a continuum from minimum wall time to minimum compute service units. We achieve our results by implementing a preprocessing stage performed on a local workstation before job submission.

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TG '10: Proceedings of the 2010 TeraGrid Conference
August 2010
177 pages
ISBN:9781605588186
DOI:10.1145/1838574
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 August 2010

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  1. analytical ultracentrifugation
  2. non-negatively constrained least squares

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TG '10
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  • Carnegie Mellon University
TG '10: TeraGrid 2010
August 2 - 5, 2010
Pennsylvania, Pittsburgh

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