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 29-sep-2025