In English

Rheos A Domain-specific language for high-level sampling tasks in high-performance computing

Viktor Almqvist ; Martin Hardselius
Göteborg : Chalmers tekniska högskola, 2012. 64 s.
[Examensarbete på avancerad nivå]

Many computations running on high-performing systems do not make use of the performance available. To solve this problem, software written to achieve strong scaling is needed.
Copernicus is a system for execution of large-scale sampling tasks in high-performance environments. It aims to achieve strong scaling, regardless of underlying architecture. The system was originally developed to run large scale bio-molecular simulations. However, lacking an intuitive way of describing computational projects, the developers felt a need for an user-friendly text-based input for Copernicus.
This master’s thesis describes a design and implementation of a domain-specific language to meet the need of a suitable input description for Copernicus. The language design is simple yet manages to capture the abstract model of how a computational project is executed. The language is strongly typed and inspired by elements from both functional programming and data-flow languages, making Rheos a powerful descriptive domain-specific language.

Publikationen registrerades 2012-09-19. Den ändrades senast 2013-04-04

CPL ID: 163580

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