Automated Detection of Memory Performance Bugs in Microprocessors
Abstract
Detection of memory performance bugs in microprocessors using a 2-phase automated method. The first phase is a machine-learning based performance predictor while the second phase is a bug detection scheme using a binary classifier.
Citation
Jacob, Sara Mariam (2020). Automated Detection of Memory Performance Bugs in Microprocessors. Master's thesis, Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /192329.