123848 20240319081009.0 doi 10.1109/ACCESS.2022.3230068 sideral 132419 ART-2022-132419 eng Segarra, J. Universidad de Zaragoza (orcid)0000-0003-1550-735X Improving the configuration of the predictable ACDC data cache for real-time systems 2022 Access copy available to the general public Unrestricted In real-time systems, analyzing the worst-case execution time (WCET) of a task in the presence of data caches is hard. The ACDC is a data cache that provides predictability, facilitating WCET analysis. It works by granting data cache replacement permission to specific load/store instructions. Nonetheless, knowing how to select these instructions to minimize the WCET, i.e., configuring the ACDC, is not trivial. In this paper, we propose four new methods to configure the ACDC, and compare them with existing methods. Unlike those in previous studies, our proposed methods provide specific ACDC configurations for the different phases of a given task, instead of a single ACDC configuration per task. We evaluate the WCET bounds obtained when using different ACDC configuration methods on the TACLeBench benchmark suite. Our results show that the most complex benchmarks work better with multiple-content configurations, which indicates that realistic tasks may also benefit from this kind of configuration. The methods proposed in this study improve the WCET in more than 60% of cases, with an average WCET improvement of nearly 5% and up to 50% in some cases. info:eu-repo/grantAgreement/ES/AEI/PID2019-105660RB-C21-AEI-10.13039-501100011033 info:eu-repo/grantAgreement/ES/AEI/PID2020-117713RB-I00 info:eu-repo/grantAgreement/ES/DGA-ESF/T58-20R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.9 2022 COMPUTER SCIENCE, INFORMATION SYSTEMS 73 / 158 = 0.462 2022 Q2 T2 TELECOMMUNICATIONS 41 / 88 = 0.466 2022 Q2 T2 ENGINEERING, ELECTRICAL & ELECTRONIC 100 / 274 = 0.365 2022 Q2 T2 0.926 2022 Computer Science (miscellaneous) 2022 Q1 Materials Science (miscellaneous) 2022 Q1 Engineering (miscellaneous) 2022 Q1 9.0 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Marti-Campoy, A. 5007 035 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Arquit.Tecnología Comput. 10 (2022), 132708-132724 IEEE Access IEEE Access 2169-3536 1712079 http://zaguan.unizar.es/record/123848/files/texto_completo.pdf Versión publicada 2694579 http://zaguan.unizar.es/record/123848/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:123848 articulos driver 2024-03-18-15:00:01 ARTICLE