Instruction vulnerability analysis-based SDC error detection method

Abstract

The invention discloses an instruction vulnerability analysis-based SDC error detection method. The method comprises the following steps of: 1, carrying out a fault injection test on a program set soas to obtain a sample data set; 2, extracting instruction SDC vulnerability description features; 3, training a support vector regression-based instruction SDC vulnerability analysis model; 4, extracting instruction features of a target program, and predicting and analyzing instruction vulnerability; 5, carrying out instruction redundancy processing on the target program according to an instruction vulnerability value; 6, carrying out fault injection test on the target program after the redundancy processing, and detecting SDC errors during the operation of the program; and 7, assessing an SDCerror detection ability of the target program after the redundancy processing. The method is high in SDC error detection rate and low in performance overhead, and can be applied to detection of program SDC errors caused by transient faults under severe environment.

Description

Technical field [0001] The invention belongs to the field of soft reinforcement and trusted software, and specifically relates to an SDC error detection method based on instruction vulnerability analysis. Background technique [0002] With the development of integrated circuit technology, while the performance of computers is greatly improved, chips are also more susceptible to space radiation. In the space environment, single event effects caused by high-energy particle irradiation or electromagnetic pulse interference are one of the main reasons for the failure of computer systems. Single event upset (Single Event Upset, SEU) is the most important form of single event effect. The system hardware failure caused by single event flip is called soft error, which is a transient failure. The impact of soft errors on system reliability is that it will propagate to the program, causing the program's state to be abnormal or functional. In the field of spaceborne computer research, th...

AI Technical Summary

Problems solved by technology

In the prior art, there is no report on using support vector regression to analyze the vulnerability of instruction SDC and detect SDC errors

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