Call for Papers: Machine Learning for Computer Architecture and Systems (MLArchSys 2023)

Machine Learning for Computer Architecture and Systems workshop will be co-located with ASSYST 2023 at ISCA 2023.

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. 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

We welcome paper submissions of up to 4 pages. Deadline: April 21st, 2023, 11:59 AoE.

Timeline:

• Full Paper Submission Deadline: Apr 21, 2023 (11:59 AoE)
• Reviews: May 1–19
• Author Notification: May 22, 2023
• Camera Ready: Jun 9, 2023
• Presentation Submission (for Recorded Talk): Jun 12, 2023
• Workshop: Jun 17, 2023