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Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems.

, , , , , and . CoRR, (2018)

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A low-computation-complexity, energy-efficient, and high-performance linear program solver based on primal-dual interior point method using memristor crossbars., , , and . Nano Commun. Networks, (2018)A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars., , , , , , and . SoCC, page 317-322. IEEE, (2016)3D Capsule Networks for Object Classification With Weight Pruning., , , and . IEEE Access, (2020)Memristor crossbar-based ultra-efficient next-generation baseband processors., , , , , , , and . MWSCAS, page 1121-1124. IEEE, (2017)RadarSSD: A Computational Storage for Radar Signal Processing., , , , , and . ICPP, page 244-253. ACM, (2023)Towards acceleration of deep convolutional neural networks using stochastic computing., , , , , , and . ASP-DAC, page 115-120. IEEE, (2017)DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks., , , , , and . ICCD, page 678-681. IEEE Computer Society, (2016)Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks., , , , , , , and . IJCNN, page 1230-1236. IEEE, (2017)IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation., , , , and . DAC, page 1-6. IEEE, (2023)DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks., , , , , , , and . CoRR, (2019)