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CS Colloquium (BMAC)
 

Nov
5

Quynn Computer Science Department Colloquium
Computing Systems Integrating Silicon Photonics:An Illusion or a Realistic Solution?
Speaker: Mahdi Nikdas, Assistant Professor, Department of Electrical and Computer Engineering, Colorado State University

When: 11:00AM ~ 11:50AM, November 5, 2018

Where: CSB130

Abstract: Computing systems play an important role in our daily lives. They are continuously scaling, and hence becoming more complicated, to satisfy new applications demands, such as higher computation and communication bandwidth required for big data and machine learning applications. As a result, the inter- and intra-chip communication in such systems is growing rapidly due to the continuous increase in the integration density of processing cores on a single die. Silicon photonics is introduced as a promising technology with potentials in realizing high-performance interconnect in multiprocessor computing systems. This interdisciplinary talk will discuss different opportunities as well as challenges related to employing silicon photonics in multiprocessor computing systems. Particularly, it will explore the requirements, feasibility, and performance of such systems while considering both the physical-level and the system-level perspectives.

Bio: Mahdi Nikdast is an Assistant Professor in the Department of Electrical and Computer Engineering at Colorado State University (CSU). He received his Ph.D. in Electronic and Computer Engineering from The Hong Kong University of Science and Technology (HKUST), Hong Kong, in 2014. After his Ph.D., he started a Postdoctoral at Polytechnique Montreal and in collaboration with McGill University in Montreal, Canada. Dr. Nikdast has authored and coauthored more than 60 papers in refereed journals and international conference publications. He has edited a book on Photonic Interconnects for Computing Systems: Understanding and Pushing Design Challenges, published by River Publishers in 2017. Dr. Nikdast was a recipient of various awards, including the Second Best Project Award at the AMD Technical Forum and Exhibition (AMD-TFE 2010, Taiwan), the Best Poster Paper Award at the Asia Communications and Photonics Conference (ACP 2015, Hong Kong), the Best Paper Award at the Design, Automation, and Test in Europe (DATE) Conference (DATE 2016 – Test Track, Dresden), and the Best Paper Award Candidate at ACM Great Lake Symposium on VLSI (GLSVLSI 2018, USA). Dr. Nikdast and his group at CSU are currently working on emerging technologies for high performance computing.