Publication

Parallel implementation of a distinct element method for granular media simulation on the Cray T3D

Thomas Liebling, Jean-Albert Ferrez
1996
Journal Articles

Abstract

An efficient implementation of Cundall's model on the Cray T3D massively parallel computer is presented. This model is used to simulate granular media where every grain is identified separately, generating very time-consuming simulations. First, we show a data structure based on a triangulation which defines a neighbourhood of each grain. This allows to save computing time. Then we explain how to distribute data and work on the processors and give some preliminary results.

Official source

https://infoscience.epfl.ch/entities/publication/2897822b-376c-4f6e-985b-e9709dc47ead

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Thomas Liebling, Jean-Albert Ferrez
1996
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/2897822b-376c-4f6e-985b-e9709dc47ead

About this result

Related concepts (23)

Cray

Cray Inc., a subsidiary of Hewlett Packard Enterprise, is an American supercomputer manufacturer headquartered in Seattle, Washington. It also manufactures systems for data storage and analytics. Several Cray supercomputer systems are listed in the TOP500, which ranks the most powerful supercomputers in the world. Cray manufactures its products in part in Chippewa Falls, Wisconsin, where its founder, Seymour Cray, was born and raised.

Cray-3

The Cray-3 was a vector supercomputer, Seymour Cray's designated successor to the Cray-2. The system was one of the first major applications of gallium arsenide (GaAs) semiconductors in computing, using hundreds of custom built ICs packed into a CPU. The design goal was performance around 16 GFLOPS, about 12 times that of the Cray-2. Work started on the Cray-3 in 1988 at Cray Research's (CRI) development labs in Chippewa Falls, Wisconsin. Other teams at the lab were working on designs with similar performance.

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.

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Parallel implementation of a distinct element method for granular media simulation on the Cray T3D

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