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CASS Distinguished Lecturer Event “Algorithm/Architecture Co-Design For Smart Signals And Systems In Cognitive Cloud/Edge”

September 13 @ 6:00 pm - 8:00 pm

Co-sponsored by: Computer Society (CS), CIS

CASS Distinguished Lecturer Event

“Algorithm/Architecture Co-Design For Smart Signals And Systems In Cognitive Cloud/Edge”

Dr. Chris Gwo Giun, National Cheng Kung University

Event Organized By:

Circuits and Systems Society (CASS) of the IEEE Santa Clara Valley Section

Co-sponsors:

PROGRAM:

6:00 – 6:30 PM Networking & Refreshments
6:30 – 7:45 PM Talk
7:45 – 8:00 PM Q&A/Adjourn

Lecture will be broadcast on Zoom and recording will be available. Please register to receive zoom conference details before the event.

Abstract:

Niklaus Emil Wirth introduced the innovative idea that Programming = Algorithm + Data Structure. Inspired by this, we advance the concept to the next level by stating that Design = Algorithm + Architecture. With concurrent exploration of algorithm and architecture entitled Algorithm/Architecture Co-exploration (AAC), this methodology introduces a leading paradigm shift in advanced system design from System-on-a-Chip to Cloud and Edge.

As algorithms with high accuracy become exceedingly more complex and Edge/IoT generated data becomes increasingly bigger, flexibleparallel/reconfigurable processing are crucial in the design of efficientsignal processing systems having low power. Hence the analysis of algorithms and data for potential computing in parallel, efficient data storage and data transfer is crucial. With extension of AAC for SoC system designs to even more versatile platforms based on analytics architecture, system scope is readily extensible to cognitive cloud and reconfigurable edge computing for multimedia and mobile health, a cross-level-of abstraction topic which will be introduced in this tutorial together with case studies.

Bio:

Chris Gwo Giun Lee is an investigator in the field of signal processing systems including multimedia and bioinformatics. His endeavors in system design, based on analytics of algorithm concurrently with analytics architecture, has made possible computations on System-on-Chip and cloud platforms in resolving complex problems with both accuracy and efficiency. Having previously held leading and managerial positions in the industry such as System Architect in former Philips Semiconductor in Silicon Valley, Lee was recruited to NCKU in 2003 where he found and is currently directing the Bioinfotronics Research Center.

Lee received his B.S. degree in electrical engineering from National Taiwan University and both his M.S. and Ph.D. degrees in electrical engineering from University of Massachusetts. He has contributed more than 130 original research and technical publications with the invention of 60+ patents worldwide.

Lee serves as the AE for IEEE TSP and Journal of Signal Processing Systems. He was formerly the AE for IEEE TCSVT for which he received the Best Associate Editor’s Award in 2011.

Venue:

QualComm Santa Clara, Building B, 3165 Kifer Road, Santa Clara, CA 95051

Live Broadcast:

Lecture will be broadcast on Zoom and recording will be available. Please register to receive zoom conference details before the event.

Admission Fee:

All admissions free. Suggested donations to cover food and water:

Non-IEEE: $5, Students (non-IEEE): $3, IEEE Members (not members of CASS or SSCS): $3

Online registration is recommended to guarantee seating.

Speaker(s): Chris Gwo Giun Lee,

Agenda:

Niklaus Emil Wirth introduced the innovative idea that Programming = Algorithm + Data Structure. Inspired by this, we advance the concept to the next level by stating that Design = Algorithm + Architecture. With concurrent exploration of algorithm and architecture entitled Algorithm/Architecture Co-exploration (AAC), this methodology introduces a leading paradigm shift in advanced system design from System-on-a-Chip to Cloud and Edge.

As algorithms with high accuracy become exceedingly more complex and Edge/IoT generated data becomes increasingly bigger, flexibleparallel/reconfigurable processing are crucial in the design of efficientsignal processing systems having low power. Hence the analysis of algorithms and data for potential computing in parallel, efficient data storage and data transfer is crucial. With extension of AAC for SoC system designs to even more versatile platforms based on analytics architecture, system scope is readily extensible to cognitive cloud and reconfigurable edge computing for multimedia and mobile health, a cross-level-of abstraction topic which will be introduced in this tutorial together with case studies.

Location:
Bldg: Building B
QualComm Santa Clara
3165 Kifer Road
Santa Clara, California
95051

Details

Date:
September 13
Time:
6:00 pm - 8:00 pm
Event Category:
Website:
http://events.vtools.ieee.org/m/202845

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