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Conference object . 2025
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Article . 2025
License: CC BY
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Article . 2025
License: CC BY
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OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

Authors: Ropero, Juan José; Castro Caballero, Manuel De; Llanos Ferraris, Diego Rafael;

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

Abstract

Abstract. As the era of heterogeneous computing evolves, benchmarking tools are vital for measuring performance across diverse architectures. We present OpenDwarfs 2025, a reengineered and modernized version of the OpenDwarfs benchmark suite, originally developed to evaluate the performance of heterogeneous systems using OpenCL. Our comprehensive reengineering process involved addressing compatibility issues with modern compilers, resolving bugs, and enhancing usability to align the suite with the latest hardware advancements. Key updates include improved scalability, standardized configurations, and enriched documentation, making the suite more accessible to the research community. Experimental results highlight the enhanced performance and portability of OpenDwarfs 2025 across diverse platforms, offering valuable insights into the evaluation of parallel computing systems amidst rapidly advancing architectures.

This work was supported in part by the Spanish Ministerio de Ciencia e Innovación and by the European Regional Development Fund (ERDF) program of the European Union, under Grant PID2022- 142292NB-I00 (NATASHA Project); and in part by grant TED2021–130367B–I00, funded by MCIN/AEI/10.13039/ 501100011033 and by “European Union NextGenerationEU/ PRTR”. Manuel de Castro has been supported by the Spanish Ministerio de Ciencia, Innovación y Universidades, through “Ayudas para la Formación de Profesorado Universitario FPU 2022”.

Producción Científica

Country
Spain
Related Organizations
Keywords

Informática, 3304 Tecnología de Los Ordenadores, Heterogeneous computing, benchmark suite optimization, parallel computing performance, OpenCL benchmarks, software reengineering., 1203 Ciencia de Los Ordenadores

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green