Summary: Software-Based Online Detection of Hardware Defects:
Mechanisms, Architectural Support, and Evaluation
Kypros Constantinides
Onur Mutlu
Todd Austin
Valeria Bertacco

Advanced Computer Architecture Lab
Computer Architecture Group
University of Michigan Microsoft Research
Ann Arbor, MI Redmond, WA
{kypros, austin, valeria}@umich.edu onur@microsoft.com
Abstract
As silicon process technology scales deeper into the nanometer
regime, hardware defects are becoming more common. Such de-
fects are bound to hinder the correct operation of future processor
systems, unless new online techniques become available to detect
and to tolerate them while preserving the integrity of software
applications running on the system.
This paper proposes a new, software-based, defect detection

Source: Austin, Todd M. - Department of Electrical Engineering and Computer Science, University of Michigan
Bertacco, Valeria - Department of Electrical Engineering and Computer Science, University of Michigan
Mutlu, Onur - Department of Electrical and Computer Engineering, Carnegie Mellon University

Collections: Computer Technologies and Information Sciences; Engineering