About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
ICPE 2019
Conference paper
Using AI for Performance Verification of High-End Processors
Abstract
We present results of performing analytics and visualizations over micro-architectural performance metrics collected in simulation of high-end processor designs. These results contribute to several use-cases: Obtain fast alerts in cases of anomalous behavior of the design, create a global view of performance-related coverage, and compare different versions of the hardware model as an aid to identification of root-causes of performance differences and correlations between metrics. We show case our methods and results through experiments on a very-high-end processor design, and discuss how they are expected to affect the methodology of performance verification of next-generation designs from the vendor.