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ALS 2000 Abstract
The Development and Integration of a Distributed 3D FFT for a Cluster
of Workstations
Dr. Christopher E. Cramer, and Dr. John A. Board, Duke University
Abstract
In this paper, the authors discuss the steps taken in the formulation
of a parallel 3D FFT with good scalability on a cluster of fast
workstations connected via commodity 100 Mb/s ethernet. The
motivation for this work is to improve the performance and scalability
of the Distributed Particle Mesh Ewald (DPME) N-body solver.
Scalability issues in the FFT and DPME as an
application are presented separately. Also discussed are scalability issues
related to the networking hardware used in the cluster. Results
indicate that the existence of a parallel FFT significantly improves
performance in DPME from a maximum of 5 processors to at least 24
processors on a cluster of workstations. This has an associated
increase in speedup from 4 to 12 times faster than the serial version.
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