RT info:eu-repo/semantics/conferenceObject T1 OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing A1 Ropero, Juan José A1 Castro Caballero, Manuel De A1 Llanos Ferraris, Diego Rafael K1 Informática K1 Heterogeneous computing, benchmark suite optimization, parallel computing performance, OpenCL benchmarks, software reengineering. K1 1203 Ciencia de Los Ordenadores K1 3304 Tecnología de Los Ordenadores AB 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 advancingarchitectures. PB Springer YR 2025 FD 2025 LK https://uvadoc.uva.es/handle/10324/77426 UL https://uvadoc.uva.es/handle/10324/77426 LA eng NO 23rd International Workshop Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar 2025), Dresden, Germany, Aug 26th 2025. NO Producción Científica DS UVaDOC RD 07-sep-2025