Design and Implementation of an Environment for Component-Based Parallel Programming

Carvalho, Francisco Heron de; Lins, Rafael Dueire; Corrêa, Ricardo C.; Araújo, Gisele Azevedo; Santiago, Chanderlie Freire de

doi:10.1007/978-3-540-71351-7_15

Cited by 2 publications

(1 citation statement)

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“…Carvalho et al [5] introduce the # component model, enabling developers to build software using components. These components utilize Haskell-like parallel programming extensions, allowing for the separation of concerns and emphasizing processing separation from the developer's perspective.…”

Section: Related Workmentioning

confidence: 99%

Work Distribution of Data-Parallel Applications on Heterogeneous Systems

Memeti

Pllana

2016

Lecture Notes in Computer Science

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Heterogeneous systems, consisting of CPUs and GPUs, offer the capability to address the demands of compute-and data-intensive applications. However, programming such systems is challenging, requiring knowledge of various parallel programming frameworks. This paper introduces COMPAR, a component-based parallel programming framework that enables the exposure and selection of multiple implementation variants of components at runtime. The framework leverages compiler directive-based language extensions to annotate the source code and generate the necessary glue code for the StarPU runtime system. COM-PAR provides a unified view of implementation variants and allows for intelligent selection based on runtime context. Our evaluation demonstrates the effectiveness of COMPAR through benchmark applications. The proposed approach simplifies heterogeneous parallel programming and promotes code reuse while achieving optimal performance.

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Section: Related Workmentioning

confidence: 99%