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Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks., , , , , , , and . CoRR, (2017)Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network., , , , , , and . ISCA, page 764-775. IEEE Computer Society, (2018)General-purpose code acceleration with limited-precision analog computation., , , , , , , and . ISCA, page 505-516. IEEE Computer Society, (2014)Isolated Mini-domain for Trusted Cloud Computing., , , and . CCGRID, page 194-195. IEEE Computer Society, (2013)Scale-out acceleration for machine learning., , , , , and . MICRO, page 367-381. ACM, (2017)Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration., , , , and . ISCA, page 66-77. IEEE Computer Society, (2016)FlexJava: language support for safe and modular approximate programming., , , , and . ESEC/SIGSOFT FSE, page 745-757. ACM, (2015)Rollback-free value prediction with approximate loads., , , , , , , and . PACT, page 493-494. ACM, (2014)TABLA: A unified template-based framework for accelerating statistical machine learning., , , , , , and . HPCA, page 14-26. IEEE Computer Society, (2016)From high-level deep neural models to FPGAs., , , , , , , and . MICRO, page 1-12. IEEE Computer Society, (2016)