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Article . 2022 . Peer-reviewed
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Article . 2022
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Aspect-Oriented Programming based building block platform to construct Domain-Specific Language for HPC application

Authors: Ishimura, Osamu; Yoshimoto, Yoshihide;

Aspect-Oriented Programming based building block platform to construct Domain-Specific Language for HPC application

Abstract

The world of HPC systems is changing to a more complicated system because the performance improvement of processors has been slowed down. One of the promising approaches is Domain-Specific Language(DSL), which provides a productive environment to create a high-efficient program without pain. However, existing DSL platforms themselves often lack portability and cost DSL developers great effort. To solve this issue, we propose an Aspect-Oriented Programming(AOP) based DSL constructing platform, enabling developers to build a DSL platform by combining Aspect modules. Aspect modules manage abstracted application flow, data structure, and memory access on our platform. Therefore, developers can create any DSL platform whose target application has the attributes which HPC applications usually have, the abstraction assumes. This study implemented a prototype platform that can handle MPI and OpenMP layers. The prototype supports three types of applications (Structured-Grid, Unstructured-Grid, and Particle Simulation). Then, we evaluated the overheads caused by achieving flexibility and productivity of the platform.

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Keywords

FOS: Computer and information sciences, Computer Science - Programming Languages, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Programming Languages (cs.PL)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green