Difference between revisions of "Hybrid Compute-in-Memory: abstract simplified (17695824)"
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− | A compute-in-memory array is | + | A compute-in-memory array is described in the abstract. This array is designed to implement a filter for a specific layer in a neural network. The purpose of this filter is to process data by multiplying a set of activation bits with a set of filter weight bits. This multiplication process is performed for each channel within a group of channels. The resulting products are then accumulated through a charge accumulation process using multiple capacitors. Finally, the accumulated charge is digitized to produce the output of the filter. |
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− | The filter | ||
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Latest revision as of 16:20, 1 October 2023
A compute-in-memory array is described in the abstract. This array is designed to implement a filter for a specific layer in a neural network. The purpose of this filter is to process data by multiplying a set of activation bits with a set of filter weight bits. This multiplication process is performed for each channel within a group of channels. The resulting products are then accumulated through a charge accumulation process using multiple capacitors. Finally, the accumulated charge is digitized to produce the output of the filter.