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,

followed by a panel discussion. Subject areas of the workshop included (but not limited to):

  • Learned models for computer architecture and systems optimization

  • Machine learning techniques for compiler and code optimization

  • Distributed systems for machine learning workloads

  • Machine learning for hardware/software co-design

  • Automated machine learning in EDA tools

  • Architecture and accelerator design for machine learning models

  • Evaluation of machine learning systems and architectures

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'21 Latex Template.

  • Please follow the guidelines provided at ISCA 2021 Paper Submission Guidelines.

  • Please submit your paper no later than May 16th, 2021 - Midnight Anywhere on Earth.

  • Reviewing will be double blind: please do not include any author names on any submitted documents except in the space provided on the submission form.

Organizing Committee

  • Milad Hashemi (Google Research)

  • Akanksha Jain (University of Texas at Austin)

  • Mangpo Phothilimthana (Google Research)

  • Neeraja J. Yadwadkar (Stanford)

  • Amir Yazdanbakhsh (Google Research)

Program Committee

  • Mojan Javaheripi (UCSD)

  • Ryan Marcus (MIT)

  • Daniel Berger (Microsoft)

  • Cliff Young (Google)

  • Sangeetha Jyothi (UCI)

  • Avani Wildani (Emory)

  • Chris Cummins (Facebook AI Research)

  • Dan Zheng (Google)

  • Yanqi Zhou (Google)

  • Berkin Akin (Google)

  • Soroush Ghodrati (UCSD)

  • Liang Luo (Facebook)

  • Shreya Rajpal (University of Illinois, Urbana-Champaign)

Important Dates

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