As a result of the parallel element setting, performance assessment and model construction are constrained. Component functions should be observable without direct connections to programming language, for example. As a result of this, solutions that are constituted interactively at program execution necessitate recyclable performance-monitoring interactions. As a result of these restrictions, a quasi, coarse-grained Performance Evaluation (PE) approach is described in this paper. A performance framework for the application system can be polymerized from these data. To validate the evaluation and model construction techniques included in the validation framework, simplistic elements with well-known optimization models are employed.
Keywords
Performance Evaluation (PE), High Performance Computing (HPC), Common Component Architecture (CCA).
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Author(s) thanks to Dr.Andrew Mathus for this research validation and verification support.
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Amir Antonie
Amir Antonie
School of Computer Science, University of Guelph, Guelph, ON N1G 2W1, Canada.
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Cite this article
Amir Antonie and Andrew Mathus, “A Model for Performance Evaluation”, Journal of Computing and Natural Science, vol.2, no.1, pp. 001-007, January 2022. doi: 10.53759/181X/JCNS202202001.