InCheck - An Integrated Recovery Methodology for Fine-grained Soft-Error Detection Schemes

• Other Authors: Lokam, Sai Ram Dheeraj (Author)
• Format: Dissertation
• Language: English
• Published: 2016
• Subjects: Computer engineering; Computer science; Electrical engineering; Algorithms; Checkpointing; Recovery; Reliability; Silent Data Corruption; Soft-Errors
• Online Access: http://hdl.handle.net/2286/R.I.40720

abstract: Soft errors are considered as a key reliability challenge for sub-nano scale transistors. An ideal solution for such a challenge should ultimately eliminate the effect of soft errors from the microprocessor. While forward recovery techniques achieve fast recovery from errors by simply voting out the wrong values, they incur the overhead of three copies execution. Backward recovery techniques only need two copies of execution, but suffer from check-pointing overhead. In this work I explored the efficiency of integrating check-pointing into the application and the effectiveness of recovery that can be performed upon it. After evaluating the available fine-grained approaches to perform recovery, I am introducing InCheck, an in-application recovery scheme that can be integrated into instruction-duplication based techniques, thus providing a fast error recovery. The proposed technique makes light-weight checkpoints at the basic-block granularity, and uses them for recovery purposes. To evaluate the effectiveness of the proposed technique, 10,000 fault injection experiments were performed on different hardware components of a modern ARM in-order simulated processor. InCheck was able to recover from all detected errors by replaying about 20 instructions, however, the state of the art recovery scheme failed more than 200 times. === Dissertation/Thesis === Masters Thesis Computer Science 2016