Michela Tauper Computer Sciences Department
Swiss Federal Institute of Technology
CHARMM on distributed architectures
Distributed computing systems provide significant potential
for speed-up and high computing power at low cost. Existing high performance
computing codes in scientific computation are migrated to clusters
of PCs and their migration to computational grid looks tempting. Successful
migrations require proper performance analysis of the entire complex
system including the underling hardware, software and the code applications.
This talk examines the viability and effectiveness of the migration
of the scientific computation code CHARMM (Chemistry at HARvard Macromolecular
Mechanics) to distributed systems. It shows the benefits and the limits
of different kinds of parallelism (i.e. data and task parallelism)
for some common CHARMM applications (i.e. energy calculation, protein
folding) on different kinds of distributed architectures (e.g. clusters
of PCs, commercial desktop computational grid). This talk also sketches
some solutions to the identified limits of plain task parallelism
of CHARMM applications on computational grid.
The San Diego Supercomputer
Center (SDSC) is a research unit of the University of California,
San Diego, and the leading-edge site of the National Partnership for
Advanced Computational Infrastructure. SDSC researchers conduct studies
in computational science, develop high-performance computing and networking
technologies, and participate in NPACI activities.