IEDM will offer two short courses with in-depth coverage of highly relevant topics from world experts.
Advance registration is recommended.
Starting Sunday, December 6, 2020 – On Demand Streaming of the Short Courses
Short Course 1 – Live Question and Answer with Lecturers – Sunday, December 13, 7:50 AM– 9:30 AM (PST)
Short Course 2 – Live Question and Answer with Lecturers – Sunday, December 13, 9:35 AM– 11:45AM (PST)
If you have purchased the short course bundle registration, you will have access to both Short Courses
Short Course 1 – Innovative trends in device technology to enable the next computing revolution
7:50 AM-8:00 AM Introduction:
Courses Organizer: Srabanti Chowdhury, Stanford University
Organizer: Anne Vandooren, IMEC (Download Abstract/Bio)
8:00 AM – 9:30 AM
- Differentiated Silicon Technologies for Mobile Radio Front End – a journey from sub 6GHz to mmWave, Anirban Bandyopadhyay, Director, Strategic Applications, GLOBALFOUNDRIES, Inc. (Download Abstract/Bio)
- Power Electronics for Next-Gen Computing: Topologies and Device Needs, Yogesh Ramadass, Texas Instruments (Download Abstract/Bio)
- Enablement of Next Generation High Performance NanoSheet Transistors, Nicolas Loubet, Advanced CMOS Logic Research, IBM Research (Download Abstract/Bio)
- Advanced 3D System Integration Technologies, KC Yee, TSMC (Download Abstract/Bio)
- 3D sequential integration : opportunities, breakthrough and challenges, Claire Fenouillet-Beranger, PhD, LETI (Download Abstract/Bio)
- Integration Technology – From Package Level to Wafer Level Integration, SE-Ho You, Samsung (Download Abstract/Bio)
Short Course 2 – Memory bound computing
9:35 AM – 9:45 AM Introduction
Courses Organizer: Srabanti Chowdhury, Stanford University
Organizer, Ian Young , Intel (Download Abstract/Bio)
9:45 AM – 11:45AM
- Compute memory trends: from application requirements to architectural needs, Simon Hammond, Sandia National Laboratories (Download Abstract/Bio)
- Role of persistent memory in computing for high performance computing, Frank Hady, Intel (Download Abstract/Bio)
- HBM D-RAM and beyond, Shekhar Borkar, Qualcomm (Download Abstract/Bio)
- Memory for secure computing, Todd Austin, University of Michigan (Download Abstract/Bio)
- PUFs for hardware security, Sanu Mathew, Intel (Download Abstract/Bio)
- Alternate technologies for SRAM, Helen Li, Duke University (Download Abstract/Bio)
- Analog memory needs for AI – compute-in-memory, Multi-level bit-cell, Shimeng Yu, Georgia Tech (Download Abstract/Bio)
- One-shot learning with memory augmented neural network, Michael Niemier, Notre Dame (Download Abstract/Bio)