Data partitioning techniques for partially protected caches to reduce soft error induced failures

Exponentially increasing with technology scaling, soft errors have become a serious design concern in the deep sub-micron embedded systems. Partially Pro-tected Cache (PPC) is a promising microarchitectural feature to mitigate failures due to soft errors in embedded processors. A processor with PPC maintains two caches, one protected and the other unprotected, both at the same level of memory hierarchy. By finding out the data more prone to soft errors and mapping only that to the protected cache, the failure rate can be significantly improved at minimal power and performance penalty. While the effectiveness of PPCs has been demonstrated on multimedia applications - where the multimedia data is inherently resilient to soft errors - no such obvious data partitioning exists for applications in general. This paper proposes profile-based data partitioning schemes that are applicable to applications in general and effectively reduce failures due to soft errors at minimal power and performance overheads. Our experimental results demonstrate that our algorithm reduces the failure rate by 47× on benchmarks from MiBench while incurring only 0.5% performance and 15% power overheads.