Abstract
Benefits from parallelization of sequential TRQR application were analyzed and presented in this paper. The TRQR program based on the Particle-In-Cell method is used in simulations of particles trajectories in the electromagnetic field. To estimate the performance of parallelized program some formal and informal measures were provided. Analysis was based on three main issues. First - if and how parallel computing influenced program efficiency. Secondly, the way that system reliability increases and thirdly, how this solution improves the extent to which the available hardware computing power is used. The paper also presents the methodology that was used for code re-engineering in order to get a parallel version on the basis of its sequential version.
Highlights
There exist plenty of programs that simulate phenomena in different scientific fields
The substantial issue is the choice of proper technique which will be applied in the parallelization process
The TRQR parallelization process is based on methodology presented in paper [1]
Summary
There exist plenty of programs that simulate phenomena in different scientific fields. Those programs, designed to work on one-processor machines, were often developed for many years. They were designed to model and simulate reality, which was often functionally limited by computing power of available hardware. There exist a lot of aspects that no homogeneous standards were defined for. One of them is the problem of parallelizing the existing sequential code which was not planned to be a basis for future parallel version. The substantial issue is the choice of proper technique which will be applied in the parallelization process. The TRQR parallelization process is based on methodology presented in paper [1]
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