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Título: Precise characterization of coherence activity in multicores using gem5
Fecha de publicación: 30-may-2025
Editorial: Springer
Cita bibliográfica: Journal of Supercomputing, 2025, Vol. 81 : 935
ISSN: Print: 0920-8542
Electronic: 1573-0484
Palabras clave: Multicores
Gem5
Cache coherence
Top down
Resumen: Simulation enables cost-effective and rapid prototyping in computer architecture research. It helps assess the impact of architectural changes on performance, area, and energy consumption, playing a crucial role in early-stage development. Gem5 has become a widely used simulation tool in academia and industry for researching multicore architectures. However, its accuracy depends on proper configuration. Key parameters, such as core microarchitecture, memory hierarchy, and interconnection network, must be carefully calibrated to ensure realistic results. This work highlights the importance of a well-adjusted simulation environment for modeling modern multicore setups, with a focus on coherence directory. We refine core, memory, and interconnection parameters, identifying and addressing deficiencies in the simulation infrastructure. We introduce new functionalities and statistics to enhance system characterization. We implement Intel’s Top-Down methodology in gem5, extending it with two new levels to analyze coherence activity’s impact on performance. Lastly, we enable gem5 to support various sparse directory architectures.
Autor/es principal/es: Ferrer, Joaquín
Cebrián, Juan M.
Fernández Pascual, Ricardo
Acacio Sánchez, Manuel Eugenio
Versión del editor: https://link.springer.com/article/10.1007/s11227-025-07434-0
URI: http://hdl.handle.net/10201/155440
DOI: https://doi.org/10.1007/s11227-025-07434-0
Tipo de documento: info:eu-repo/semantics/preprint
Número páginas / Extensión: 31
Derechos: info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Descripción: © 2025, The Author(s), under exclusive licence to Springer Science Business Media. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Submitted Manuscript, version of a Published Work that appeared in final form in Journal of Supercomputing. To access the final edited and published work see https://doi.org/10.1007/s11227-025-07434-0
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