Combining Task- and Data Parallelism to Speed up Protein Folding on a Desktop Grid Platform
نویسندگان
چکیده
EXPERIENCE: 1992July 1997 Degree Laurea in Fisica, Universita' di Torino. Thesis on "Aspects of learning in realistic neural networks", supervisor Dr. Alessandro Treves(SISSA). Full marks cum laude. 1997October 1998 Master, Magister Philosophiae, SISSA, Trieste. Thesis on "Determination of optimal effective interactions between amino acids in globular proteins", supervisor prof. Amos Maritan. Full marks. 1997October 2001 Doctor Philosophiae, SISSA, Trieste. Thesis on “The role of native state topology in protein folding and dynamics”. supervisors Prof. Amos Maritan and Prof. Paolo Carloni. Approved cum laude. Since November 2001 Postdoctoral fellow in Prof. Caflisch’s Group, Biochemisches Institut, University of Zurich, Switzerland.
منابع مشابه
Combining Task- and Data Parallelism to Speed up Protein Folding on a Desktop Grid Platform Is efficient protein folding possible with CHARMM on the United Devices MetaProcessor?
The steady increase of computing power at lower and lower cost enables molecular dynamics simulations to investigate the process of protein folding with an explicit treatment of water molecules. Such simulations are typically done with well known computational chemistry codes like CHARMM. Desktop grids such as the United Devices MetaProcessor are highly attractive platforms, since scavenging fo...
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CHARMM is a popular molecular dynamics code for computational biology. For many CHARMM applications such as protein folding, desktop grids could become viable alternatives to clusters of PCs. In this paper, we present a prototype and discuss the viability of a protein folding application with CHARMM on the United Devices MetaProcessor, a platform for widely distributed computing. We identify th...
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