2026-10-09T19:33:19Z https://api.figshare.com/v2/oai

oai:figshare.com:article/32640663 2026-10-01T16:29:16Z portal_1172 item_type_8 month_year_10_2026

Microarchitecture and workload-aware error prediction based on artificial intelligence Styliani Tompazi (24169428) PUREID: 626306223 machine learning microarchitecture timing errors workload fault injection neural networks artificial intelligence This dissertation focusses on modelling the data-dependent dynamic timing behaviour of modern, complex designs, in an effort to assist in evaluating the impact of timing errors early in the design cycle or navigate the selection of more optimistic operating conditions. This thesis investigates in-depth the factors that contribute to timing error manifestation in pipelined architectures and discusses AI-based solutions and improvements.<br><br> 2026-10-01T16:29:16Z Text Thesis 10.17034/32640663.v1 https://figshare.com/articles/thesis/Microarchitecture_and_workload-aware_error_prediction_based_on_artificial_intelligence/32640663 All Rights Reserved