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SUMMARY:IEM Seminar: Scalable Analog Computing Through Circuit–Architect
 ure Co-Design
DTSTART:20260603T100000
DTEND:20260603T110000
DTSTAMP:20260611T201633Z
UID:f6a09c567da92d17237ebaf4108e31c5d1a323f0557ea42da258ed2d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Armin Tajalli\, University of Utah\, USA\nAbstract\nThe
  rapid growth of edge computing and near-sensor intelligence is driving th
 e need for platforms that are both energy-efficient and fundamentally scal
 able under tight power\, bandwidth\, and latency constraints. This talk pr
 esents a research vision for scalable analog computing\, where computation
 \, communication\, and circuit methodology are co-designed to overcome the
  traditional limitations associated with the analog systems.\n\nThe presen
 tation is focused on three tightly coupled dimensions of scalability. Firs
 t\, large-scale analog computing architectures for applications such as ne
 ural networks are explored\, with emphasis placed on approaches that impro
 ve density\, robustness\, and efficiency. Second\, high-bandwidth die-to-d
 ie communication is examined as a key enabler for scaling beyond a single 
 die and emerging signaling techniques that enhance bandwidth density and e
 nergy efficiency are highlighted. Third\, high-speed\, energy-efficient an
 alog building blocks are presented\, and it is shown how the novel circuit
  design methodology developed within our team can be used to enable system
 atic circuit optimization across a wide design space.\n\nTogether\, these 
 directions illustrate how circuit–architecture co-design can enable scal
 able\, energy-efficient analog and mixed-signal systems for data-centric a
 pplications in advanced technologies.\n\nBio\nArmin Tajalli is an Associat
 e Professor in the Department of Electrical and Computer Engineering at th
 e University of Utah. He received his Ph.D. from the École Polytechnique 
 Fédérale de Lausanne (EPFL)\, where he subsequently completed a postdoct
 oral appointment at the Algorithmic Mathematics Laboratory within the Scho
 ol of Computer and Communication Sciences. Dr. Tajalli was part of the tea
 m who started Kandou AI\, where he has since led advanced research and dev
 elopment activities. He has authored more than 90 scientific publications 
 and holds over 40 patents. His distinctions include the IEEE AMD/CICC Stud
 ent Scholarship (2009)\, the PhD Prime Award at EPFL (2010)\, and the Best
  Paper Award at DesignCon (2016). He currently serves as a Technical Progr
 am Committee member for IEEE CICC\, ESSCIRC\, and DATE Conferences\, and w
 as an Associate Editor of the IEEE Transactions on VLSI Systems.\n 
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202 https://epfl.zoom.u
 s/j/69281864978
STATUS:CONFIRMED
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