PREMSim: A Resilience Framework for Modeling Traditional and Emerging Memory Reliability

Published in MASTCOTS 2019, 2019

Recommended citation: D. Kline, S. Longofono, S. Ollivier, E. Higgins, R. Melhem and A. K. Jones, "PREMSim: A Resilience Framework for Modeling Traditional and Emerging Memory Reliability," 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Rennes, FR, 2019, pp. 396-409, doi: 10.1109/MASCOTS.2019.00049. https://ieeexplore.ieee.org/document/8843253

This paper is about the development of a memory modeling tool that I was involved with. View paper here. Recommended citation: D. Kline, S. Longofono, S. Ollivier, E. Higgins, R. Melhem and A. K. Jones, "PREMSim: A Resilience Framework for Modeling Traditional and Emerging Memory Reliability," 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Rennes, FR, 2019, pp. 396-409, doi: 10.1109/MASCOTS.2019.00049.