Dataset to support an invited paper for publication in a special section of the Journal of Low Power Electronics (JOLPE) on "New and Future Trends in Low Power Electronics". To appear in JOLPE, Vol. 13, No 3, September 2017.</span
Sustainable energy management is an inexpensive approach for improved energy use. However, the resea...
This editorial overviews the contents of the Special Issue “Machine Learning for Energy Systems 2021...
This dataset supports the paper entitled “Power Neutral Performance Scaling for Energy Harvest...
This dataset supports the article entitled "Machine Learning for Run-Time Energy Optimisation i...
Data supporting: Bantock, J. R. B., et al (2017). Online Tuning of Dynamic Power Management for Eff...
Multi/Many-core systems are prevalent in several application domains targeting different scales of c...
This dataset supports the article entitled "Energy-Driven Computing: Rethinking the Design of E...
This dataset supports the article entitled "Workload-Aware Runtime Energy Management for HPC Sy...
This dataset supports the article entitled "Energy Harvesting and Transient Computing: A Paradi...
This dataset supports the article entitled "Predictive Thermal Management for Energy-efficient ...
Experimental data obtained from the transielty-powered wireless cycle computer. Data used in paper t...
This Special Issue was intended as a forum to advance research and apply machine-learning and data-m...
This dataset supports the article entitled "Collaborative Adaptation for Energy-Efficient Heter...
This dataset supports the article entitled “Two-Phase Low-Energy N-Modular Redundancy for Hard...
This dataset supports the article entitled "The Slowdown or Race-to-idle Question: Workload-Awa...
Sustainable energy management is an inexpensive approach for improved energy use. However, the resea...
This editorial overviews the contents of the Special Issue “Machine Learning for Energy Systems 2021...
This dataset supports the paper entitled “Power Neutral Performance Scaling for Energy Harvest...
This dataset supports the article entitled "Machine Learning for Run-Time Energy Optimisation i...
Data supporting: Bantock, J. R. B., et al (2017). Online Tuning of Dynamic Power Management for Eff...
Multi/Many-core systems are prevalent in several application domains targeting different scales of c...
This dataset supports the article entitled "Energy-Driven Computing: Rethinking the Design of E...
This dataset supports the article entitled "Workload-Aware Runtime Energy Management for HPC Sy...
This dataset supports the article entitled "Energy Harvesting and Transient Computing: A Paradi...
This dataset supports the article entitled "Predictive Thermal Management for Energy-efficient ...
Experimental data obtained from the transielty-powered wireless cycle computer. Data used in paper t...
This Special Issue was intended as a forum to advance research and apply machine-learning and data-m...
This dataset supports the article entitled "Collaborative Adaptation for Energy-Efficient Heter...
This dataset supports the article entitled “Two-Phase Low-Energy N-Modular Redundancy for Hard...
This dataset supports the article entitled "The Slowdown or Race-to-idle Question: Workload-Awa...
Sustainable energy management is an inexpensive approach for improved energy use. However, the resea...
This editorial overviews the contents of the Special Issue “Machine Learning for Energy Systems 2021...
This dataset supports the paper entitled “Power Neutral Performance Scaling for Energy Harvest...
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