Schedule

https://iccad.com/agenda.php

Session 1

November 4, 2021

8:00am - 12:00noon PST

8.00 a.m.–8:10 a.m.

Welcome Note

Abe Elfadel and Subhasish Mitra

8:10 a.m.–9:00 a.m.

Keynote: Accelerating Deep Neural Networks with Analog Nonvolatile Memory Devices

Geoffrey Burr, IBM Research

9:00 a.m.–9:40 a.m.

Bio-Inspired AI from Edge to Cloud: SpiNNaker2 and Beyond

Christian Mayr, TU Dresden

9:40 a.m.–10:20 a.m.

Design Space Exploration for In-Memory Computing with Associative Memories

X. Sharon Hu, University of Notre Dame

10:20 a.m.–10:30a.m.

Break

10:30 a.m.–11:10a.m.

Generation, Execution and Model Optimized Stochastic Computing Based Inference Acceleration

Puneet Gupta, UCLA

11:10 a.m.–11:50a.m.

Hardware/Software Co-Design of Deep Learning Accelerators

Yiyu Shi, University of Notre Dame

11:50 a.m.–12:00 noon

Closing Remarks of Session 1

Abe Elfadel and Subhasish Mitra

Session 2

November 5, 2021

8:00am - 12:40pm PST

8.00 a.m.–8:10 a.m.

Welcome Note to Session 2

Abe Elfadel and Subhasish Mitra

8:10 a.m.–9:00 a.m.

Keynote: ReRAM-enabled and Application-Specific Co-Designed AI Accelerators

Tim Cheng, HKUST

9:00 a.m.–9:40 a.m.

Ensembling CNNs to Improve Robustness in Approximate Edge AI Computing

David Atienza, EPFL

9:40 a.m.–10:20a.m.

Under the Hood of OpenFPGA

Pierre-Emmanuel Gaillardon, University of Utah

10:20 a.m.–10:30a.m.

Break

10:30 a.m.–11:10a.m.

The Interplay of Online and Offline Machine Learning for Industrial Design Flow Tuning

Mathew Ziegler, IBM Research

11:10 a.m.–11:50 a.m.

CHIMERA: Efficient DNN Training and Inference at the Edge with On-Chip Resistive RAM

Priyanka Raina, Stanford University

11:50 a.m.–12:30p.m.

Integrated Circuit Design Redaction through Transistor-Level Programming (TRAP)

Yiorgos Makris, UT Dallas

12:30 p.m.–12:40 p.m.

Closing Remarks

Abe Elfadel and Subhasish Mitra

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