Publication

Problem-solving environment for parallel computers

Kurt Appert, Ralf Gruber, Trach-Minh Tran
1997
Journal Articles

Abstract

A program environment is presented that enables a co-operative design of high-technology products demanding interdisciplinary computer simulations for their optimisation. The system includes a multi-site, multi-machine, distributed data manager accessible by a data monitor. A client-server concept supports the user of massively parallel machines. The exchange of data between different executable scientific application modules is performed through the data base. Special modules to define the geometry, to decompose the domain in subdomains, to construct adaptive meshes in each subdomain, and to represent graphically the results run on workstations. Direct and iterative matrix solvers are embedded in the system. They optimally run on massively parallel machines. As a demonstration of the system, the high frequency wave generator (Gyrotron) application is presented.

Official source

https://infoscience.epfl.ch/entities/publication/863638cf-277a-4a4d-b10e-00fbae34801c

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Kurt Appert, Ralf Gruber, Trach-Minh Tran
1997
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/863638cf-277a-4a4d-b10e-00fbae34801c

About this result

Related concepts (32)

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

Massively parallel

Massively parallel is the term for using a large number of computer processors (or separate computers) to simultaneously perform a set of coordinated computations in parallel. GPUs are massively parallel architecture with tens of thousands of threads. One approach is grid computing, where the processing power of many computers in distributed, diverse administrative domains is opportunistically used whenever a computer is available. An example is BOINC, a volunteer-based, opportunistic grid system, whereby the grid provides power only on a best effort basis.

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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Problem-solving environment for parallel computers

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