Schedule
November 3, 2022
8:00am - 5:00pm PDT
Embedded Files
Morning Session
Morning Session
8:00 am–8:10am
Welcome Note
Welcome Note
Abe Elfadel (Khalifa University) and Suhasish Mitra (Stanford University)
8:10am–9:10am
Morning Keynote: Retire Linear Algebra Libraries
Morning Keynote: Retire Linear Algebra Libraries
Albert Cohen, Google
9:10am–9:50am
HW/SW Codesign for Reliable Hyperdimensional In-Memory Computing on Unreliable Ferroelectric FET
HW/SW Codesign for Reliable Hyperdimensional In-Memory Computing on Unreliable Ferroelectric FET
Hussam Amrouch, University of Stuttgart
9:50am–10:10am
Break
10:10am–10:50am
Challenges and Solutions for Hyperdimensional Computing in Wearable Healthcare Applications
Challenges and Solutions for Hyperdimensional Computing in Wearable Healthcare Applications
Una Pale, EPFL, Thomas Teijeiro, UPV/EHU, David Atienza, EPFL
10:50 am–11:30am
RRAM Compute-In-Memory Hardware for Efficient, Versatile, and Accurate Edge Inference
RRAM Compute-In-Memory Hardware for Efficient, Versatile, and Accurate Edge Inference
Weier Wan, Stanford University
11:30 am–12:10pm
AI/ML-Infused Digital IC Design Workflows on the Hybrid Cloud
AI/ML-Infused Digital IC Design Workflows on the Hybrid Cloud
Jinwook Jung, IBM Research
12:10 pm–1:00pm
Lunch
Afternoon Session
Afternoon Session
1:00pm–2:00pm
Afternoon Keynote: Narrowing the Energy Efficiency Gap between Artificial and Natural Intelligence
Afternoon Keynote: Narrowing the Energy Efficiency Gap between Artificial and Natural Intelligence
Anand Raghunathan, Purdue University
2:00pm-2:40pm
Introduction to Quantum Computing and Machine Learning for Drug Discovery
Introduction to Quantum Computing and Machine Learning for Drug Discovery
Rasit O. Topaloglu, IBM
2:40 pm–3:00pm
Break
3:00pm–3:40pm
AHS: An Agile Framework for Hardware Specialization and Software Mapping
AHS: An Agile Framework for Hardware Specialization and Software Mapping
Lun Eric Liang, Peking University
3:40pm–4:20pm
Graph Neural Networks for Hardware Design, Security and Reliability
Graph Neural Networks for Hardware Design, Security and Reliability
Lilas Alrahis, New York University
4:20pm–5:00pm
The DAC System Design Contest 2018 - 2022: Lessons Learned in Edge Computing
The DAC System Design Contest 2018 - 2022: Lessons Learned in Edge Computing
Cong "Callie" Hao, Georgia Institue of Technology
IFIP Working Group 10.5
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