Cross-Layer Optimizations for Building Energy-Efficient 2.5D Systems with Silicon Photonic Networks

Coskun, Ayse

Title:

Cross-Layer Optimizations for Building Energy-Efficient 2.5D Systems with Silicon Photonic Networks

dc.contributor.author	Coskun, Ayse
dc.contributor.corporatename	Georgia Institute of Technology. Institute for Electronics and Nanotechnology	en_US
dc.contributor.corporatename	Boston University. Department of Electrical and Computer Engineering	en_US
dc.date.accessioned	2020-09-11T01:44:24Z
dc.date.available	2020-09-11T01:44:24Z
dc.date.issued	2020-09-08
dc.description	Presented online September 8, 2020, 12:00 p.m.-1:00 p.m. at Nano@Tech Virtual Fall 2020.	en_US
dc.description	Hosted by: Professor Muhannad Bakir, School of Electrical and Computer Engineering, Georgia Tech.	en_US
dc.description	Ayse K. Coskun is currently an associate professor in the Electrical and Computer Engineering Department at Boston University. She received her MS and PhD degrees in Computer Science and Engineering from University of California, San Diego. Ayse’s research interests are broadly in design automation, computer systems, and architecture, with a particular focus on energy efficiency and intelligent computer system analytics methods. She worked at Sun Microsystems (now Oracle) prior to her appointment at BU. Ayse is currently an associate editor of the IEEE Transactions on Computer Aided Design and Transactions on Computers and serves in the executive committee of the IEEE Council on EDA (CEDA). She received the NSF CAREER award (2012), several best paper awards, and the IEEE CEDA Ernest Kuh Early Career Award (2017). Coskun was recently selected to attend the National Academy of Engineering’s Frontiers of Engineering Symposium (2019).	en_US
dc.description	Runtime: 58:07 minutes	en_US
dc.description.abstract	The design of today's leading-edge systems is fraught with power, thermal, and variability challenges. The applications in rapidly growing computing domains of cloud and HPC exhibit significant diversity and require an increasing number of threads and much larger data transfers compared to applications of the past. In tandem, power and thermal constraints limit the number of transistors that can be used simultaneously, which has led to the Dark Silicon problem. Thus, it is becoming increasingly difficult to harness the full potential of computer chips. This talk argues that there is a need for novel design and management approaches to push computing systems operation closer to their peak capacity and reclaim the dark silicon. Specifically, the talk will discuss how to use 2.5D integration technology with silicon photonic networks (PNoCs) to build (heterogeneous) computing systems that provide the desired parallelism, heterogeneity, and network bandwidth to handle the demands of the next-generation applications. At the core of this ambitious vision is designing modeling and optimization frameworks that are able to capture and tweak the complex cross-layer interactions among devices, architecture, applications, and their power/thermal characteristics. Specific methods that will be highlighted in the talk include runtime management of applications and PNoC wavelengths, EDA methods that optimize placement & routing of PNoC systems with strong power and thermal awareness, and new architectures built with PNoCs.	en_US
dc.format.extent	58:07 minutes
dc.identifier.uri	http://hdl.handle.net/1853/63708
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.relation.ispartofseries	Nano@Tech Lecture Series
dc.subject	Silicon photonics	en_US
dc.subject	2.5D stacking	en_US
dc.subject	Thermal management	en_US
dc.title	Cross-Layer Optimizations for Building Energy-Efficient 2.5D Systems with Silicon Photonic Networks	en_US
dc.type	Moving Image
dc.type.genre	Lecture
dspace.entity.type	Publication
local.contributor.corporatename	Institute for Electronics and Nanotechnology (IEN)
local.relation.ispartofseries	Nano@Tech Lecture Series
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