Thursday, November 5, 2020, 8:00am - 12:00noon, PST
Friday, November 6, 2020, 8:00am - 12:00noon, PST
2nd Workshop on Accelerator Computer Aided Design
(ACCAD 2020)
Co-located with ICCAD 2020
Organizers:
Abe Elfadel, Khalifa University, Abu Dhabi, UAE
Subhasish Mitra, Stanford University, Palo Alto, CA, USA
The ACCAD workshop provides a forum to present and discuss the current trends in computer-aided design in support of domain-specific accelerator chips, especially for artificial intelligence and machine learning applications. The workshop will be concerned with the VLSI methodology flow from high-level synthesis to physical verification and performance prediction, particularly in the way it gets impacted with the emerging design paradigms of domain-specific instruction sets, approximate computing, in-memory computing, and stochastic computing. Of particular interest to the workshop are the transformations that VLSI CAD has to undergo to adapt to the post-CMOS technologies when they are considered in the context of accelerator design. The workshop will include, but will not be limited to, the following topics:
High-level synthesis of machine-learning accelerators.
Design space exploration of domain-specific accelerators.
Tools and methodologies for in-memory computing.
Tools and methodologies for approximate computing.
CAD for emerging accelerator technologies: ReRAM, MRAM, Photonics, etc.
Tools and methodologies for the post-CNN era.
Tools and methodologies for the testing and verification of accelerator chips.
Each year, the workshop will be devoted to four focus areas of accelerator CAD. Renowned speakers are invited to speak on each of the four areas. This edition of the workshop is by invitation only, but future editions will be will be open to the larger community on the basis of a call-for-posters. Short oral presentations will be given by all the accepted poster presenters in advance of the poster session. The four focus areas selected for this year are:
CAD for emerging accelerator technologies.
High-level synthesis of machine-learning accelerators.
Accelerator verification.
Hardware/software co-acceleration.
Invited speakers include:
Dr. Leon Stok, IBM (confirmed)
Mr. Frank Schirrmeister, Cadence (Confirmed)
Prof. Deming Chen, Illinois – Urbana Champaign (confirmed)
Prof. David Pan, UT Austin (confirmed)
Prof. Kevin Cao, Arizona State (confirmed)
Prof. Yiran Chen, Duke (confirmed)
Dr. Claudionor Coelho, Palo Alto Networks (confirmed)
Prof. Song Han, MIT (confirmed)
Prof. Priyanka Raina, Stanford University (confirmed)
Dr. Jinjun Xiong, IBM Research (Confirmed)
Prof. Fadi Kurdahi, UCI
Dr. Christoph Hagleitner, IBM Research, Switzerland
Dr. Danny Bankman, Apple
Prof. Sophia Shao, UC Berkeley
Dr. Stelios Diamantidis, Synopsys, USA
Dr. Kailash Gopalakrishnan, IBM Research, USA
The workshop will be a virtual event co-located with ICCAD 2020, Nov 2 - 5, 2020.
Contact: Abe Elfadel, Khalifa University, Abu Dhabi, UAE, Email: ibrahim.elfadel AT ku.ac.ae
Speakers
Leon Stok
IBM
Thursday Keynote Address
Frank Schirrmeister
Cadence
Friday Keynote Address
David Pan
UT Austin
Deming Chen
University of Illinois - Urbana Champaign
Claudinoro Coelho
Palo Alto Networks
Yiran Chen
Duke
Kevin Cao
Arizona State
Priyanka Raina
Stanford
Song Han
MIT
Jinjun Xiong
IBM Research
Virtual Workshop
The worksop is virtually co-located with ICCAD 2020, Nov 2 - 5, 2020.
Registration is through the ICCAD 2020 Registration web page at
https://iccad.com/registration-rates.
The workshop will use the same virtual conference platform as ICCAD 2020: