Hafiz Adnan Niaz

Thesis: 
Energy of Communication: Measurement and Modelling for Parallel Hybrid Programs on Heterogeneous Hybrid Servers

My PhD research focused on energy measurement and modelling for parallel hybrid applications on heterogeneous CPU/GPU platforms. I developed one of the first methodologies for accurately measuring the energy cost of inter-device data transfers and introduced systematic techniques for constructing runtime energy predictive models. I also introduced the first concurrent and orthogonal software power meters for accurate runtime profiling of computation and communication energy in parallel hybrid applications. This work advances energy-aware high-performance computing and contributes to the development of sustainable computing infrastructures.

 

 

Supervisor: 
Dr. Alexey Lastovetsky
Email: 
hafiz.niaz@ucdconnect.ie
Research Group: 
Heterogeneous Computing Laboratory (HCL)