Skip to content

EECS Faculty Candidate Seminar: Rasit Onur Topaloglu

Embedded and Quantum System Architecture for Modern Applications


There has been a drastic shift in applications and the corresponding workloads for computing in the last decade. Machine learning tasks are in the process of being offloaded to edge devices. However, architecture of edge devices have been lagging. We first present a latency and locality-aware embedded device architecture for convolutional neural network workloads. We then take another application from bio-medicine domain (e.g.: drug discovery) and present findings that suggest a classical-quantum hybrid architecture can potentially present us with certain advantages. Security being a major concern for biomedical applications and computing in general, we also discuss hardware security considerations in our architecture. The talk concludes by providing a vision for the future of this research.


Rasit Onur Topaloglu has degrees in electrical & electronic engineering from Bogazici University (with high honors) and MS In Computer Science and PhD in computer engineering from UC San Diego (ranks #3 overall according to and #1 in design automation). He has worked for companies such as AMD, GlobalFoundries, IBM, and Qualcomm. At IBM, he has taken a key role (for chip design for manufacturability and yield) in delivering Summit and Sierra supercomputers to the top two spots in list. He also wrote code for one of IBM’s top qubit research labs in Yorktown Heights to speed up qubit measurements by four-fold. He implemented an IoT system with over 200 sensors. He also took roles in IBM’s AI co-processor chip design validation and usage of large language models for z/OS customer support ticketing. He received recognition as an IBM Master Inventor with 80+ patents and IBM Academy of Technology (AoT) member. He was given ACM/IEEE Design Automation Conference Outstanding Innovator Award, IBM Outstanding Achievement Award, and AMD Vice President’s Spotlight Award. Currently he serves on IEEE Embedded System Letters Editorial Board, as TPC Track Chair of IEEE ISQED Emerging Technologies, and IEEE Region1 Vitality Chair. He has edited three books for Springer Nature, most recent one on Design Automation of Quantum Computers. He develops next generation talent by teaching a master-level course on parallel computing. 

Tuesday, February 13 at 11:00am to 12:00pm

Min H. Kao Electrical Engineering and Computer Science, 435
1520 Middle Drive, Knoxville, TN 37996

Event Type

Lectures & Presentations




Current Students, Faculty & Staff


EECS Seminar, faculty candidate


Electrical Engineering and Computer Science
Contact Name

Min H. Kao Department of Electrical Engineering and Computer Science

Contact Email

Contact Phone


Google Calendar iCal Outlook

Recent Activity