Enhancing Performance Analysis of <scp>OpenMP</scp> Task‐Based Applications: Enriched and Interactive Visualizations With <scp>StarVZ</scp>

ABSTRACT OpenMP, a leading tool for loop‐based parallel programming on shared memory platforms, is becoming a more powerful environment for exploiting task‐based parallelism. Recent specification versions have added support for new task clauses, while the OMPT interface provides a standard API for performance monitoring. In this paper, we present a new approach to enhance the performance analysis of OpenMP task‐based applications. We rely on open‐source solutions such as the Tikki OMPT tracing tool and the StarVZ performance visualization framework to create enriched space–time and application progression views with the optional support of a responsive and interactive interface. We demonstrate this approach by analyzing the influence of the task depend clause and by comparing applications using two different runtime systems: OpenMP and StarPU. We also demonstrate that the tracing overhead of the employed tools is low and competitive with other tracing facilities.

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Publication Details

Journal
Concurrency and Computation Practice and Experience
Published
2026-07-24
DOI
https://doi.org/10.1002/cpe.70867
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhancing Performance Analysis of OpenMP Task‐Based Applications: Enriched and Interactive Visualizations With StarVZ

Vinícius Garcia Pinto, Christian Einhardt Sousa Filho
Concurrency and Computation Practice and Experience
Software System Performance and Reliability
article

Enhancing Performance Analysis of OpenMP Task‐Based Applications: Enriched and Interactive Visualizations With StarVZ

Vinícius Garcia Pinto, Christian Einhardt Sousa Filho
article en

Abstract

ABSTRACT OpenMP, a leading tool for loop‐based parallel programming on shared memory platforms, is becoming a more powerful environment for exploiting task‐based parallelism. Recent specification versions have added support for new task clauses, while the OMPT interface provides a standard API for performance monitoring. In this paper, we present a new approach to enhance the performance analysis of OpenMP task‐based applications. We rely on open‐source solutions such as the Tikki OMPT tracing tool and the StarVZ performance visualization framework to create enriched space–time and application progression views with the optional support of a responsive and interactive interface. We demonstrate this approach by analyzing the influence of the task depend clause and by comparing applications using two different runtime systems: OpenMP and StarPU. We also demonstrate that the tracing overhead of the employed tools is low and competitive with other tracing facilities.

Concurrency and Computation Practice and ExperienceVol. 38(15)
Universidade Federal do Rio Grande (BR), University of Rio Grande and Rio Grande Community College (US)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
Openalex Percentile: Top 6%
Software System Performance and Reliability
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