A Massively Parallel Code for Polarization Calculations

Details A Massively Parallel Code for Polarization Calculations A Massively Parallel Code for Polarization Calculations

Mar 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001rmxac..10..186a&link_type=abstract

The Seventh Texas-Mexico Conference on Astrophysics: Flows, Blows and Glows (Eds. William H. Lee and Silvia Torres-Peimbert) Rev

Astronomy and Astrophysics

Astrophysics

Radiative Transfer, Stars: Atmospheres, Supernovae

Scientific paper

We present an implementation of our Monte-Carlo radiation transport method for rapidly expanding, NLTE atmospheres for massively parallel computers which utilizes both the distributed and shared memory models. This allows us to take full advantage of the fast communication and low latency inherent to nodes with multiple CPUs, and to stretch the limits of scalability with the number of nodes compared to a version which is based on the shared memory model. Test calculations on a local 20-node Beowulf cluster with dual CPUs showed an improved scalability by about 40%.

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