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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Milutinovic, S. Quinones, E. Abella, J. Cazorla, F.J. |
| Copyright Year | 2015 |
| Description | Author affiliation: Barcelona Supercomput. Center, Barcelona, Spain (Quinones, E.; Abella, J.; Cazorla, F.J.) || Univ. Politec. de Catalunya, Barcelona, Spain (Milutinovic, S.) |
| Abstract | Probabilistic timing analysis is a powerful approach to derive worst-case execution time (WCET) estimates, as needed in safety-critical systems, in the presence of high-performance hardware features (e.g., caches). To that end, the timing behavior of certain hardware resources, such as caches, is randomized. Time-randomized (TR) caches allow deriving hit/miss probabilities for each access and probabilistic WCET estimates for the overall program. However, the analysis of the average performance of TR caches, which is needed for lowly-critical high-performance tasks in mixed-criticality environments, has been neglected. So far, average performance of a TR cache can only be analyzed through simulation, whose accuracy strongly depends on carrying a large number of simulations. In this paper we address this challenge by proposing PACO, an accurate analytical approach to estimate cache hit/miss probabilities of full applications, parts of them and individual cache accesses at low cost for a wide variety of TR cache hierarchies and setups. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 341962 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479980529 |
| DOI | 10.1145/2744769.2744886 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Approximation methods Accuracy Probabilistic logic Computational modeling Context Timing Benchmark testing |
| Content Type | Text |
| Resource Type | Article |
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