Memories in Embedded Computing Systems – Challenges and Opportunities of Technology Scaling

PhD defence, Friday 23 June 2017. Behzad Zeinali

2017.06.23 | Bente Broch Sørensen

Behzad Zeinali

Emerging memory technologies

During his Ph.D study, Behzad Zeinali researched ultra-low power memory design in scaled technology nodes. Robust memory design is one of the key challenges of process technology scaling. The steady pace of process technology scaling allows doubling memory array sizes. However, further scaling emerges some undesirable effects which threaten the power-efficiency, robust performance and high-density of memories. Behzad Zeinali studied how to deal with these challenges by introducing novel solutions at device, circuit and architecture and technology levels.


The new research findings enable having low-power, reliable and high-density embedded memories such as SRAMs, STT-MRAMs and SOT-MRAMs in scaled technology nodes.

The PhD degree was completed at the department of engineering, Science and Technology, Aarhus University.

This résumé was prepared by the PhD student.

Time: Friday 23 June 2017 at 13.00

Place: Edison Building 5125, room 424, Department of Engineering, Aarhus University

Title of dissertation: Ultra-low Power Memory Design in Scaled Technology Nodes

Contact information: Behzad Zeinali, e-mail: beze@eng.au.dk, tel.: +45 30438378

Members of the assessment committee:
Dr. Evangelos Eleftheriou, Department Head Cloud and Computing Infrastructure, IBM Research – Zurich, Switzerland
Professor Jens Sparsø, Department of Applied Mathematics and Computer Science,Technical University of Denmark, Denmark
Professor Stefan Hallerstede (chair), Department of Engineering, Aarhus University

Main supervisor:
Associated Professor Farshad Moradi, Department of Engineering, Aarhus University

Co-supervisor:
Professor Jens Kargaard Madsen, Department of Engineering, Aarhus University

 

Dr. Praveen Raghavan, imec

Language: The PhD dissertation will be defended in English

The defence is public.
The dissertation is available for reading at the Graduate School of Science and Technology/GSST, Ny Munkegade 120, building 1520, rooms 128-134, 8000 Aarhus C.

PhD defence
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Revised 22.06.2017