David Angulo
University of Chicago
11 Papers
357 Citations
David Angulo is an academic researcher from University of Chicago. The author has contributed to research in topics: Grid & Resource allocation. The author has an hindex of 7, co-authored 11 publications. Previous affiliations of David Angulo include DePaul University & California Institute of Technology.
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Papers
The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment
Gabrielle Allen,David Angulo,Ian Foster,Gerd Lanfermann,Chuang Liu,Thomas Radke,Edward Seidel,John Shalf +7 more
- 01 Nov 2001
TL;DR: The authors describe the adaptive resource selection mechanisms and describe how they are used to achieve automatic application migration to “better” resources following performance degradation, and the results provide insights into the architectural structures required to support Adaptive resource selection.
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The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment
Gabrielle Allen,David Angulo,Ian Foster,Gerd Lanfermann,Chuang Liu,Thomas Radke,Edward Seidel,John Shalf +7 more
TL;DR: In this article, an experimental framework, called Cactus, is developed that incorporates adaptive application structures for dealing with changing resource characteristics and adaptive resource selection mechanisms that allow applications to change their resource allocations (e.g., via migration) when performance falls outside specified limits.
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Phosphoprotein profiling by PA-GeLC-MS/MS.
TL;DR: An approach to examining the correlation between protein interactions and protein phosphorylation is developed, combining phosphoprotein affinity chromatography, separation by size, denaturing gel electrophoresis, protein identification by tandem mass spectrometry, and informatics analysis.
The Java CoG kit experiment manager
David Angulo,Gregor von Laszewski,Tan Trieu,Phillip Zimnt +3 more
- 01 Jan 2006
TL;DR: A framework for experiment management that simplifies the users’ interaction with grid environments by managing a large number of tasks to be conducted as part of the experiment by the individual scientist is introduced and its usability in practical applications such as bioinformatics is shown.
MPI framework for parallel searching in large biological databases
Dominic Battré,David Angulo +1 more
TL;DR: A general use, MPI based, C++ framework for generically splitting databases amongst several computational nodes for superlinear speedups compared to single processor implementations is demonstrated.
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