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)