The rapid growth of machine learning (ML) has transformed computer systems design, enabling data-driven optimization across hardware, software, and architecture layers. This workshop explores methodologies that integrate ML techniques into the design, configuration, and management of modern computing systems. Topics of interest include, but are not limited to, ML-assisted compiler optimization, hardware design space exploration, and intelligent resource allocation for distributed and heterogeneous environments.
The InSyDe workshop aims to accelerate innovation in intelligent, adaptive, and sustainable computing systems. The program will feature invited talks, technical paper sessions, and a panel session consisting of recognized experts in the field.
Coming Soon
We solicit both full papers (8-10 pages) and short/position papers (4-6 pages). Submissions are double-blinded. The page limit includes figures, tables, and appendices, but excludes references. Please use standard LaTeX or Word ACM templates. All submissions will need to be made via EasyChair (link). Each submission will be reviewed by at least three reviewers from the program committee. Papers will be reviewed for novelty, quality, technical strength, and relevance to the workshop. All accepted papers will be published here.
Submission Deadline: 3/6/26
Acceptance Notification: 3/20/26
Camera-Ready Submission Deadline: 4/10/26
Workshop Date: 4/27/26
Coming Soon
Tom St. John (Gimlet Labs) - tomstjohn617@gmail.com
Oana Balmau (McGill University) - oana.balmau@mcgill.ca