NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration
NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration
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Publisher
Beijing: Science China Press
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Language
English
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Beijing: Science China Press
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Contents
The performance and efficiency of running large-scale datasets on traditional computing systems exhibit critical bottlenecks due to the existing “power wall” and “memory wall” problems. To resolve those problems, processing-in-memory (PIM) architectures are developed to bring computation logic in or near memory to alleviate the bandwidth limitation...
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NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration
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TN_cdi_proquest_journals_2918545666
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918545666
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ISSN
1674-733X
E-ISSN
1869-1919
DOI
10.1007/s11432-021-3472-9