all AI news
Mining SoC Message Flows with Attention Model. (arXiv:2209.07929v1 [cs.AI])
Sept. 19, 2022, 1:11 a.m. | Md Rubel Ahmed, Bardia Nadimi, Hao Zheng
cs.LG updates on arXiv.org arxiv.org
High-quality system-level message flow specifications are necessary for
comprehensive validation of system-on-chip (SoC) designs. However, manual
development and maintenance of such specifications are daunting tasks. We
propose a disruptive method that utilizes deep sequence modeling with the
attention mechanism to infer accurate flow specifications from SoC
communication traces. The proposed method can overcome the inherent complexity
of SoC traces induced by the concurrent executions of SoC designs that existing
mining tools often find extremely challenging. We conduct experiments on five …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior Machine Learning Engineer
@ Samsara | Canada - Remote