Publication

OpenMP parallelization of the three-dimensional distinct lattice spring model

Jiannong Fang
2010
Conference Papers

Abstract

This paper presents the OpenMP parallel implementation of the Distinct Lattice Spring Model (DLSM). The motivation of this study is to reduce the computing time and increase the computational capacity of the DLSM code. Firstly, the basic theory of DLSM is introduced. As an explicit method, the DLSM is very suitable for parallelization implementation. Only a few code changes are needed for the OpenMP implementation. Then; the detail parallel design of the OpenMP implementation is presented. Finally, numerical examples are evaluated on quad-core PCs to test the speedup of the parallel DLSM. It is found that a maximum speedup of more than four times is achieved. This means the implementation is successful.

Official source

https://infoscience.epfl.ch/entities/publication/1ac1dd41-d264-4bf6-9a8f-3ea5379966d6

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Jiannong Fang
2010
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/1ac1dd41-d264-4bf6-9a8f-3ea5379966d6

About this result

Related concepts (32)

OpenMP

OpenMP (Open Multi-Processing) is an application programming interface (API) that supports multi-platform shared-memory multiprocessing programming in C, C++, and Fortran, on many platforms, instruction-set architectures and operating systems, including Solaris, AIX, FreeBSD, HP-UX, Linux, macOS, and Windows. It consists of a set of compiler directives, library routines, and environment variables that influence run-time behavior.

Parallel computing

Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has long been employed in high-performance computing, but has gained broader interest due to the physical constraints preventing frequency scaling.

Parallel programming model

In computing, a parallel programming model is an abstraction of parallel computer architecture, with which it is convenient to express algorithms and their composition in programs. The value of a programming model can be judged on its generality: how well a range of different problems can be expressed for a variety of different architectures, and its performance: how efficiently the compiled programs can execute. The implementation of a parallel programming model can take the form of a library invoked from a sequential language, as an extension to an existing language, or as an entirely new language.

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OpenMP parallelization of the three-dimensional distinct lattice spring model

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