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Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective.

, , , , , and . DATE, page 139-144. IEEE, (2017)

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Memristor-based synapse design and a case study in reconfigurable systems., , , , and . IJCNN, page 1-6. IEEE, (2013)ReSiPE: ReRAM-based Single-Spiking Processing-In-Memory Engine., , and . DAC, page 1-6. IEEE, (2020)Accelerating graph computation with racetrack memory and pointer-assisted graph representation., , , and . DATE, page 1-4. European Design and Automation Association, (2014)SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models., , , , , , , , , and . CoRR, (2023)Neuromorphic acceleration for context aware text image recognition., , , , and . SiPS, page 268-273. IEEE, (2014)Build reliable and efficient neuromorphic design with memristor technology., , , and . ASP-DAC, page 224-229. ACM, (2019)Array Organization and Data Management Exploration in Racetrack Memory., , , , and . IEEE Trans. Computers, 65 (4): 1041-1054 (2016)Feature Space Perturbations Yield More Transferable Adversarial Examples., , , and . CVPR, page 7066-7074. Computer Vision Foundation / IEEE, (2019)1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity., , , and . ISCAS, page 1-5. IEEE, (2021)Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars., , , , , and . DATE, page 1-6. IEEE, (2023)