Soft Error Detection Technique in Multi-threaded Architectures Using Control-Flow Monitoring

This paper presents a software-based error detection technique through monitoring flow of the programs in multithreaded architectures. This technique is based on the analysis of two key ideas: 1) Modifying the structure of traditional control-flow graphs used by control-flow checking methods so that they can be applied on multi-core and multi-threaded architectures. These achievements in designing control-flow error detectors lead to increase their applicability in current architectures. 2) Adjusting the locations of additional checking assertions in a given program in order to increase the ability of detecting possible control-flow errors along with significant reduction in overheads. The experimental results, through taking into account both detection coverage and overheads, demonstrate that on average about 94% of the control-flow errors can be detected by the proposed technique, more efficient compared to previous works.