A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores
Author:
Affiliation:
1. ETH Zürich, Zurich, Switzerland
2. University of Modena, Modena, Italy
Funder
Horizon 2020
Electronic Components and Systems for European Leadership
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3372799.3394369
Reference20 articles.
1. Schedulability analysis of global memory-predictable scheduling
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5. Taming Data Caches for Predictable Execution on GPU-based SoCs
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4. Software-Level Memory Regulation to Reduce Execution Time Variation on Multicore Real-Time Systems;IEEE Access;2022
5. A study of predictable execution models implementation for industrial data-flow applications on a multi-core platform with shared banked memory;2020 IEEE Real-Time Systems Symposium (RTSS);2020-12
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