Component-Based Analytical Modeling of GPU Runtime Performance: a Case-Study in Scientific Computing

Analytical performance models are excellent tools for fast performance prediction and can be used effectively for designing and tuning parallel algorithms. However, such models are non-trivial to build, especially when both the application and the system are very complex.

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Published
2025-05-03
DOI
https://doi.org/10.1145/3676151.3719367
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
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article

Component-Based Analytical Modeling of GPU Runtime Performance: a Case-Study in Scientific Computing

Jolly Chen, Monica Dessole, Ana-Lucia Varbanescu
Parallel Computing and Optimization Techniques
article

Component-Based Analytical Modeling of GPU Runtime Performance: a Case-Study in Scientific Computing

Jolly Chen, Monica Dessole, Ana-Lucia Varbanescu
article en

Abstract

Analytical performance models are excellent tools for fast performance prediction and can be used effectively for designing and tuning parallel algorithms. However, such models are non-trivial to build, especially when both the application and the system are very complex.

European Organization for Nuclear Research (CH), University of Twente (NL)
Openalex Percentile: Top 92%
Parallel Computing and Optimization Techniques
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