ML for Computer Architecture and Systems


Call for Papers

Machine Learning for Computer Architecture and Systems is an interdisciplinary workshop that brings together researchers in computer architecture and systems and machine learning. This workshop is meant to serve as a platform to promote discussions between researchers in the workshop’s target areas. To achieve this, the format of the workshop will consists of a combination of keynote speakers, short talks, and a panel discussion. Subject areas of the workshop included (but not limited to):

  • Machine learning for hardware/software co-design

  • Architecture and accelerator design for machine learning models

  • Learned models for computer architecture and systems optimization

  • Machine learning techniques for compiler and code optimization

  • System aware machine learning designs

  • Automated machine learning in EDA tools

Submission Instructions

  • We welcome submissions of up to 4 pages (not including references). This is not a strict limit, but authors are encouraged to adhere to it if possible.

  • All submissions must be in PDF format and should follow the ISCA'20 Latex Template.

  • Please follow the guidelines provided at ISCA 2020 Paper Submission Guidelines.

  • Please submit your paper no later than May 22nd, 2020 - Midnight Anywhere on Earth.

Organizing Committee

  • Milad Hashemi (Google)

  • Akanksha Jain (University of Texas at Austin)

  • Tim Kraska (MIT)

  • James Laudon (Google Research)

  • Neeraja J. Yadwadkar (Stanford)

  • Amir Yazdanbakhsh (Google Research)

  • Cliff Young (Google Research)

Program Committee

  • Fatemeh Mireshghallah (University of California, San Diego )

  • Neeraja Yadwadkar (Stanford University)

  • Akanksha Jain (University of Texas at Austin)

  • Soroush Ghodrati (University of California, San Diego)

  • Hardik Sharma (Bigstream)

  • Nader Sehatbakhsh (UCLA)

  • Byung Hoon Ahn (University of California, San Diego)

  • Mohammadkazem Taram (University of California, San Diego)

  • Tianqi Tang (University of California, Santa Barbara)

Important Dates

  • Submission Deadline: May 22nd, 2020 - Midnight Anywhere on Earth

  • Workshop: May 31st, 2020.

Contact us at mlarchsys@gmail.com