Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/77426
Título
OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing
Congreso
23rd International Workshop Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar 2025)
Año del Documento
2025
Editorial
Springer
Descripción Física
12 p
Descripción
Producción Científica
Documento Fuente
23rd International Workshop Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar 2025), Dresden, Germany, Aug 26th 2025.
Resumen
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.
Materias (normalizadas)
Informática
Materias Unesco
1203 Ciencia de Los Ordenadores
3304 Tecnología de Los Ordenadores
Palabras Clave
Heterogeneous computing, benchmark suite optimization, parallel computing performance, OpenCL benchmarks, software reengineering.
Patrocinador
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”.
Version del Editor
Idioma
eng
Tipo de versión
info:eu-repo/semantics/acceptedVersion
Derechos
openAccess
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692.6Kb
Formato:
Adobe PDF