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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Bibliographic Details

Published in:	Proceedings / International Conference on Parallel Architectures and Compilation Techniques pp. 445 - 456
Main Authors:	Zhu, Gangyi, Jiang, Peng, Agrawal, Gagan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2019
Subjects:	Adaptation models Analytical models Instruction sets irregular application Load modeling Parallel processing performance prediction Predictive models sampling SIMD Sparse matrices
ISSN:	2641-7936
Online Access:	Get full text
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