Machine Learning for Parallel Performance Analytics
Date: Thursday, November 16, 2017, 12:15 PM - 01:15 PM
Room: 501-502
Type: Birds of a Feather
Description: Parallel performance analysis tools are a mature field, with several highly scalable and capable tool families available. The objective of automating the analysis process and creating insights from the sea of raw data has not been fully achieved yet. Modern techniques in machine learning and AI (such a deep learning networks) might provide the means to develop highly automated, easy to use performance tools. This BoF assembles experts from the performance tools community and discusses how AI/ML techniques could be taken up to achieve this goal and usher in the era of automatic parallel performance analytics.
Links: Official link from SC17