1. [Publications](/publications) 2. Hamartia: A Fast and Accurate Error Injection Framework # Hamartia: A Fast and Accurate Error Injection Framework ![](/sites/default/files/styles/wide/public/publications/hamartia.JPG?itok=xFBeL62-) Single bit-flip has been the most popular error model for resilience studies with fault injection. We use RTL gate-level fault injection to show that this model fails to cover many realistic hardware faults. Specifically, single-event transients from combinational logic and single-event upsets in pipeline latches can lead to complex multi-bit errors at the architecture level. However, although accurate, RTL simulation is too slow to evaluate application-level resilience. To strike a balance between model accuracy and injection speed, we refine the concept of hierarchical injection to prune faults with known outcomes, saving 62% of program runs at 2% margin of error on average across 9 benchmark programs. Our implementation of the hierarchical error injector is not only accurate but also fast because it is able to source realistic error patterns using on demand RTL gate-level fault injection. Our tool outperforms state-of-the-art assembly-level and compiler-based error injectors by up to 6X, while providing higher fidelity. ## Authors Chun-Kai Chang (The University of Texas at Austin) Sangkug Lym (The University of Texas at Austin) Nicholas Kelly (The University of Texas at Austin) [Michael B. Sullivan](/person/mike-sullivan) Mattan Erez (The University of Texas at Austin) ## Publication Date Monday, June 25, 2018 ## Published in [The International Conference on Dependable Systems and Networks Workshops (DSN-…](https://ieeexplore.ieee.org/abstract/document/8416231) ## Research Area [High Performance Computing](/research-area/high-performance-computing) [Resilience and Safety](/research-area/resilience) ## External Links [IEEE Digital Library](https://ieeexplore.ieee.org/abstract/document/8416231) ## Uploaded Files [Published Manuscript](https://d1qx31qr3h6wln.cloudfront.net/publications/dsn-w_Hamartia_Framework.pdf "Open file in new window")1.47 MB ## Copyright This material is posted here with permission of the IEEE. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to .