ML for Computer Architecture and Systems
(Co-Located with ASSYST)

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 consist 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 (AutoML for Hardware)

• Automated machine learning in EDA tools

• Architecture and accelerator design for machine learning workloads

• Evaluation of deployed machine learning systems and architectures

• Benchmarking and comparison between machine learning algorithms and heuristics

• Learned models for improving environmental sustainability

• Acceleration of graph learning applications and biomedical applications

• Representation learning of computer system and chip

• Intractability and causality in learned models for computer architecture and systems

• Composable systems and disaggregation of resources for machine learning applications

• Computational storage in machine learning environment

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'23 Latex Template.

• Please follow the guidelines provided at ISCA 2023 Paper Submission Guidelines.

• Please submit your paper at OpenReview.   While the review process is not public, we make the accepted papers and their reviews public after the notification deadline. 

• 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

• Shoaib Akram (Australian National University)

• Ismail Akturk (Ozyegin University)

• Murali Emani (Argonne National Laboratory)

• Qijing Huang (NVIDIA)

• Pooyan Jamshidi (University of South Carolina)

• Pratik Mishra (AMD Research)

• Mangpo Phothilimthana (Google Research, Brain Team)

• Ananda Samajdar (IBM Research)

• Nishit Shah (Microsoft)

• Tianqi Tang (Meta)

• Neeraja J. Yadwadkar (University of Texas, Austin)

• Amir Yazdanbakhsh (Google Research, Brain Team)

• Full Paper Submission Deadline: April 21st, 2023, 11:59 AoE (OpenReview)

  • Please select MLArchSys for the Workshop Track.

• Workshop: June 17th, 2023 -- Co-Located with ASSYST 2023.

Contact us at mlarchsys@gmail.com