A Methodology for Characterizing Sparse Datasets and Its Application to SIMD Performance Prediction

Irregular computations are commonly seen in many scientific and engineering domains that use unstructured meshes or sparse matrices. The performance of an irregular application is very dependent upon the dataset. This paper poses the following question: "given an unstructured mesh or a graph, w...

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Vydané v:	Proceedings / International Conference on Parallel Architectures and Compilation Techniques s. 445 - 456
Hlavní autori:	Zhu, Gangyi, Jiang, Peng, Agrawal, Gagan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2019
Predmet:	Adaptation models Analytical models Instruction sets irregular application Load modeling Parallel processing performance prediction Predictive models sampling SIMD Sparse matrices
ISSN:	2641-7936
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