UConn Physics Beowulf Cluster Group
(original proposal in pdf format)
1. Experimental Particle Physics
(R.T. Jones,
P.I.)
The cluster is used for Monte Carlo simulations of experiments
and the analysis of large-scale experimental data sets. Monte
Carlo simulations are parallelized simply by slicing the data into
several equal-sized slices, and starting each slice from an
independent pseudo-random sequence. Data analysis is likewise
carried out in independent parallel streams. The i/o bottleneck
is reduced by the use of the dCache Storage Resource Manager (SRM)
which maintains the data across many disks spread over many nodes,
providing the data files to the analysis program as if there were
all on a single filesystem. The Parallel Root Facility (PROOF)
cluster software from the CERN program library is used to handle
parallel analysis of large sets of root files. The cluster has
been configured as the University of Connecticut
site of the Open Science
Grid.
2. Theoretical Atomic/Molecular Physics
(J. Javanainen,
R. Cote,
P.I.s)
The cluster is used for the numerical solution of theoretical
models of many-atom systems. So far the codes have not been
effectively parallelized, so the primary advantage afforded by
the cluster for these studies is the possibility of running
several long jobs at once.
3. Theoretical Condensed Matter Physics
(G. Fernando,
M. Rasamny,
P.I.s)
The cluster is used for calculating the properties of materials
starting from the basic electron-electron interactions in the solid.
The calculations are carried out in the density functional
formalism, and involve the manipulation of large arrays. The
codes have been parallelized to allow the distribution of these
arrays across many independent nodes, with the inter-process
communication taking place using the Message-Passing Interface
(MPI) library. A cluster-enabled version of the MPI library
has been installed by the group and is actively used on the
cluster. The group has customized the package to allow MPI to
share the cluster with other non-MPI applications.
This material is based upon work supported by the National Science Foundation under Grant No. 0402151.
This page is maintained by
richard.t.jones@uconn.edu