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A "Near-the-Best" System-Level Design Methodology of Multi-Core H.264 Video Decoder Based on the Parallelized Multi-Core Simulator.

, , , , and . Journal of Circuits, Systems, and Computers, (2012)

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Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators., , , , , and . ASP-DAC, page 201-206. IEEE, (2014)TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding., , , , and . AAAI, page 1319-1326. AAAI Press, (2019)Performance Portability Across Heterogeneous SoCs Using a Generalized Library-Based Approach., , , , , , , , , and . TACO, 11 (2): 21:1-21:25 (2014)Cambricon-F: machine learning computers with fractal von neumann architecture., , , , , , , and . ISCA, page 788-801. ACM, (2019)ShiDianNao: shifting vision processing closer to the sensor., , , , , , , , and . ISCA, page 92-104. ACM, (2015)Neuromorphic accelerators: a comparison between neuroscience and machine-learning approaches., , , , , , , and . MICRO, page 494-507. ACM, (2015)Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators., , , , , and . IEEE Trans. on CAD of Integrated Circuits and Systems, 34 (8): 1223-1235 (2015)Cambricon: An Instruction Set Architecture for Neural Networks., , , , , , , and . ISCA, page 393-405. IEEE Computer Society, (2016)BENCHIP: Benchmarking Intelligence Processors., , , , , , , , , and 4 other author(s). CoRR, (2017)Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach., , , , , , , , , and . MICRO, page 15-28. IEEE Computer Society, (2018)