A Performance Perspective Based on Error Rate

In Algorithm-based fault tolerance (ABFT), the fault tolerance scheme is tailored to the algorithm performed. Most of the previous studies that compared various ABFT schemes considered only their error detection and correction capabilities. Some previous studies looked at the overhead in general but no previous work –as far as we know– compared different ABFT schemes considering performance as the main metric. In this work, we compare the performance of two ABFT error recovery schemes: recomputing vs. correction, for different error rates. We consider errors that happen during computation as well as those that happen during the error detection, location and correction process. The metrics we use are success ratio and completion time. Results show that multiple error correction using ABFT has worse performance than single error correction. They also show that error rate is an essential factor in making one scheme better than another in terms of performance.