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Synthesis and Analysis of Design-Dependent Ring Oscillator (DDRO) Performance Monitors., , , and . IEEE Trans. Very Large Scale Integr. Syst., 22 (10): 2117-2130 (2014)Exploiting data-dependence and Flip-Flop asymmetry for zero-overhead system soft error mitigation., and . DATE, page 1189-1194. IEEE, (2017)XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse., , , , , , , , , and 8 other author(s). MLSys, mlsys.org, (2023)GPU-based Private Information Retrieval for On-Device Machine Learning Inference., , , , , , , , , and 4 other author(s). ASPLOS (1), page 197-214. ACM, (2024)CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs., , and . CoRR, (2018)SlackProbe: a low overhead in situ on-line timing slack monitoring methodology., , , and . DATE, page 282-287. EDA Consortium San Jose, CA, USA / ACM DL, (2013)Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network., , , , , , and . ISCA, page 764-775. IEEE Computer Society, (2018)Evaluating and exploiting impacts of dynamic power management schemes on system reliability., , and . CASES, page 39-48. IEEE, (2015)DDRO: A novel performance monitoring methodology based on design-dependent ring oscillators., , , and . ISQED, page 633-640. IEEE, (2012)VarEMU: An emulation testbed for variability-aware software., , , , and . CODES+ISSS, page 27:1-27:10. IEEE, (2013)