This 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 be presented in two sections:

Section 1: Thursday, November 5 (8:00am - 12:00pm PST)
Section 2: Friday, November 6 (8:00am - 12:00pm PST)

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 three focus areas of accelerator CAD. Renowned speakers are invited to speak on each of the three areas. The remainder of the workshop 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 topics selected for this year are:
1. CAD for emerging accelerator technologies
2. High-level synthesis of machine-learning accelerators
3. Accelerator verification
4. Hardware/software co-acceleration

For complete details visit website: https://sites.google.com/masdar.ac.ae/accad2020/home