Cost-efficient soft error protection for embedded microprocessors

Abstract

Device scaling trends dramatically increase the susceptibility of microprocessors to soft errors. Further, mounting demand for embedded microprocessors in a wide array of safety critical applications, ranging from automobiles to pacemakers, compounds the importance of addressing the soft error problem. Historically, soft error tolerance techniques have been targeted mainly at high-end server markets, leading to solutions such as coarse-grained modular redundancy and redundant multithreading. However, these techniques tend to be prohibitively expensive to implement in the embedded design space. To address this problem, we first present a thorough analysis of the effects of soft errors on a production-grade, fully synthesized implementation of an ARM926EJ-S embedded microprocessor. We then leverage this analysis in the design of two orthogonal low-costs of terror protection techniques that can be tuned to achieve variable levels of fault coverage as a function of area and power constraints. The first technique uses a small cache of live register values in order to provide nearly twice the fault coverage of a register file protected using traditional error correcting codes at little or no additional area cost. The second technique is a statistical method used to significantly reduce the overhead of deploying time-delayed shadow latches for low-latency fault detection.