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Towards Automated System-Level Energy-Efficiency Optimisation using Machine Learning: Poster.

, , , , and . e-Energy, page 274-275. ACM, (2021)

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Enabling Wireless Network Support for Gain Scheduled Control., , , , , , , , , and 2 other author(s). EdgeSys@EuroSys, page 36-41. ACM, (2019)Migration-Based Synchronization., , , , and . SBESC, page 1-8. IEEE, (2021)Neverlast: an NVM-centric operating system for persistent edge systems., , , , , and . APSys, page 146-153. ACM, (2021)X-Leep: Leveraging Cross-Layer Pacing for Energy-Efficient Edge Systems., , , , , , , and . e-Energy, page 548-553. ACM, (2020)Towards Automated System-Level Energy-Efficiency Optimisation using Machine Learning: Poster., , , , and . e-Energy, page 274-275. ACM, (2021)Nearly symmetric multi-core processors., , , , and . APSys, page 42-49. ACM, (2020)X-lap: a systems approach for cross-layer profiling and latency analysis for cyber-physical networks., , , , and . SIGBED Review, 15 (3): 19-24 (2018)Cross-Layer Pacing for Predictably Low Age of Information., , , , , and . GI-Jahrestagung, volume P-294 of LNI, page 183-184. GI, (2019)A predictable synchronisation algorithm., and . PPoPP, page 415-416. ACM, (2018)Automated Selection of Energy-efficient Operating System Configurations., , , , and . e-Energy, page 309-315. ACM, (2021)