This dataset supports the article entitled "Empirical CPU Power Modelling and Estimation in the gem5 Simulator" accepted for publication in 27th International Symposium on Power and Timing Modeling, Optimization and Simulation, September 2017.</span
This dataset supports the article entitled "Power Neutral Performance Scaling with Intrinsic MP...
Dataset to support an invited paper for publication in a special section of the Journal of Low Power...
This dataset supports the article entitled "Energy Harvesting and Transient Computing: A Paradi...
Fast and accurate estimation of CPU power consumption is necessary to inform run-time power manageme...
Full-system simulation frameworks such as gem5 are used extensively to evaluate research ideas and f...
This dataset supports the paper entitled “Thermally-Aware Composite Run-Time CPU Power Models&...
This dataset supports the paper entitled "Hardware-Validated CPU Performance and Energy Modelli...
Modern processors must provide an increasing level of performance, and are therefore including highe...
This dataset supports the paper entitled "Run-time Performance and Power Optimization of a Para...
This dataset supports the article entitled "Machine Learning for Run-Time Energy Optimisation i...
We have collected performance and power datasets for 6 benchmark applications; mser, tracking, svm a...
This dataset supports the paper entitled “Power Neutral Performance Scaling for Energy Harvest...
This dataset supports the article entitled "Energy-Driven Computing: Rethinking the Design of E...
This dataset supports the article entitled "The Slowdown or Race-to-idle Question: Workload-Awa...
Modern processors are becoming increasingly more complex and utilise higher numbers of Heterogeneous...
This dataset supports the article entitled "Power Neutral Performance Scaling with Intrinsic MP...
Dataset to support an invited paper for publication in a special section of the Journal of Low Power...
This dataset supports the article entitled "Energy Harvesting and Transient Computing: A Paradi...
Fast and accurate estimation of CPU power consumption is necessary to inform run-time power manageme...
Full-system simulation frameworks such as gem5 are used extensively to evaluate research ideas and f...
This dataset supports the paper entitled “Thermally-Aware Composite Run-Time CPU Power Models&...
This dataset supports the paper entitled "Hardware-Validated CPU Performance and Energy Modelli...
Modern processors must provide an increasing level of performance, and are therefore including highe...
This dataset supports the paper entitled "Run-time Performance and Power Optimization of a Para...
This dataset supports the article entitled "Machine Learning for Run-Time Energy Optimisation i...
We have collected performance and power datasets for 6 benchmark applications; mser, tracking, svm a...
This dataset supports the paper entitled “Power Neutral Performance Scaling for Energy Harvest...
This dataset supports the article entitled "Energy-Driven Computing: Rethinking the Design of E...
This dataset supports the article entitled "The Slowdown or Race-to-idle Question: Workload-Awa...
Modern processors are becoming increasingly more complex and utilise higher numbers of Heterogeneous...
This dataset supports the article entitled "Power Neutral Performance Scaling with Intrinsic MP...
Dataset to support an invited paper for publication in a special section of the Journal of Low Power...
This dataset supports the article entitled "Energy Harvesting and Transient Computing: A Paradi...