With the increasing number of applications that require reliable runtime guarantees, the relevance of static worst-case analysis tools that can provide such guarantees increases. These analysis tools determine resource-consumption bounds of application tasks, with a model of the underlying hardware, to meet given resource budgets during runtime, such as deadlines of real-time tasks. This paper presents enhancements to the Platin worst-case analysis tool developed since its original release more than ten years ago. These novelties comprise Platin’s support for new architectures (i.e., ARMv6-M, RISC-V, and AVR) in addition to the previous backends for Patmos and ARMv7-M. Further, Platin now features system-wide analysis methods and annotation support to express system-level constraints. Besides an overview of these enhancements, we evaluate Platin’s accuracy for the two supported architecture implementations, Patmos and RISC-V.
@InProceedings{maroun_et_al:OASIcs.WCET.2024.2, author = {Maroun, Emad Jacob and Dengler, Eva and Dietrich, Christian and Hepp, Stefan and Herzog, Henriette and Huber, Benedikt and Knoop, Jens and Wiltsche-Prokesch, Daniel and Puschner, Peter and Raffeck, Phillip and Schoeberl, Martin and Schuster, Simon and W\"{a}gemann, Peter}, title = {{The Platin Multi-Target Worst-Case Analysis Tool}}, booktitle = {22nd International Workshop on Worst-Case Execution Time Analysis (WCET 2024)}, pages = {2:1--2:14}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-95977-346-1}, ISSN = {2190-6807}, year = {2024}, volume = {121}, editor = {Carle, Thomas}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2024.2}, URN = {urn:nbn:de:0030-drops-204704}, doi = {10.4230/OASIcs.WCET.2024.2}, annote = {Keywords: worst-case resource consumption, WCET, static analysis tool} }
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