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Disambiguation of "Mackin, Charles"

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Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited).

, , , , , , , , , , , , , , , , , , , , , , and . ISCAS, page 1-5. IEEE, (2023)

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Neil Mackin

Charles Asseke

Charles Bannerman

Charles Trenckle

Charles Horowitz

 

Other publications of authors with the same name

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators., , , , , , , , , and 3 other author(s). CoRR, (2023)Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)., , , , , , , , , and 11 other author(s). IRPS, page 1-10. IEEE, (2023)Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited)., , , , , , , , , and 2 other author(s). ISCAS, page 1-5. IEEE, (2021)Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers., , , , , , , , , and 6 other author(s). ISCAS, page 3319-3323. IEEE, (2022)Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)., , , , , , , , , and 13 other author(s). ISCAS, page 1-5. IEEE, (2023)Optimization of Analog Accelerators for Deep Neural Networks Inference., , , , , , , , and . ISCAS, page 1-5. IEEE, (2020)Accelerating Deep Neural Networks with Analog Memory Devices., , , , , , , , and . AICAS, page 149-152. IEEE, (2020)Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices., , , , , , , , , and 1 other author(s). Frontiers Comput. Neurosci., (2021)Graphene chemical and biological sensors: modeling, systems, and applications.. Massachusetts Institute of Technology, Cambridge, USA, (2018)ndltd.org (oai:dspace.mit.edu:1721.1/118095).Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited)., , , , , , , , , and 15 other author(s). VLSI Technology and Circuits, page 1-2. IEEE, (2023)