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Axilog: Abstractions for Approximate Hardware Design and Reuse., , , , , , , , , and . IEEE Micro, 35 (5): 16-30 (2015)Approximate associative memristive memory for energy-efficient GPUs., , , , and . DATE, page 1497-1502. ACM, (2015)Hierarchically focused guardbanding: an adaptive approach to mitigate PVT variations and aging., , and . DATE, page 1695-1700. EDA Consortium San Jose, CA, USA / ACM DL, (2013)Axilog: language support for approximate hardware design., , , , , , , , , and 2 other author(s). DATE, page 812-817. ACM, (2015)Analysis of instruction-level vulnerability to dynamic voltage and temperature variations., , and . DATE, page 1102-1105. IEEE, (2012)Associative Memristive Memory for Approximate Computing in GPUs., , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 6 (2): 222-234 (2016)Variability Mitigation in Nanometer CMOS Integrated Systems: A Survey of Techniques From Circuits to Software., , and . Proceedings of the IEEE, 104 (7): 1410-1448 (2016)Improving Resilience to Timing Errors by Exposing Variability Effects to Software in Tightly-Coupled Processor Clusters., , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 4 (2): 216-229 (2014)CIRCA-GPUs: Increasing Instruction Reuse Through Inexact Computing in GP-GPUs., , and . IEEE Design & Test, 33 (6): 85-92 (2016)Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory., , and . JETC, 15 (4): 32:1-32:25 (2019)