Defect Mechanisms Responsible for Silent Data Errors
Manu Shamsa, David Lerner
Abstract
As the scale of silicon integration increases, and as System-on-Chip (SoC) devices are installed in datacenters in ever larger numbers, silicon faults that are undetected by the machine check architecture must be tightly managed [1]. While many undetected faults will result in a work stoppage through an application crash or a detected uncorrected error (DUE), those that manifest as silent data errors (SDE) are of greater concern because they may cause data loss or data corruption [2]. Intel has analyzed devices that exhibit SDE to better understand the underlying physical defect mechanisms. This paper reports the first detailed defect characterization study regarding the types of defects that lead to SDE events.
Topics & Concepts
Computer scienceIndustrial Vision Systems and Defect Detection