CPU Power
76 W
GPU Power
122 W
Forecast Load
68%
Workload distribution
Power forecast
Predictive Energy, Performance Optimisation
Across modern computing infrastructure, from cloud platforms to high performance systems, there is a persistent and expensive blind spot. Systems are monitored, but not truly understood.
My work began with a simple but difficult question: can system behaviour be predicted reliably using only measurable signals? To answer this, I built a measurement driven approach that connects CPU activity, frequency scaling, and power behaviour with real workload outcomes. In practice, this delivered execution gains of up to 34%, and moved optimisation from guesswork to repeatable, data driven decision making.
34%
Execution gain achieved
UCD / Linux
Primary test environment