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US Patent 10528643 Vector-matrix multiplication using non-volatile memory cells

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Contents

Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10528643
Patent Inventor Names
Won Ho Choi0
Martin Lueker-Boden0
Date of Patent
January 7, 2020
Patent Application Number
16052420
Date Filed
August 1, 2018
Patent Citations Received
‌
US Patent 12079733 Multi-precision digital compute-in-memory deep neural network engine for flexible and energy efficient inferencing
0
‌
US Patent 11515472 Multi-resistance MRAM
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US Patent 11521682 Temperature compensation in an analog memory array by changing a threshold voltage of a selected memory cell in the array
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US Patent 11521658 Binary weighted voltage encoding scheme for supporting multi-bit input precision
0
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US Patent 11449740 Synapse circuit with memory
0
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US Patent 11934798 Counter-based multiplication using processing in memory
0
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US Patent 11934480 NAND block architecture for in-memory multiply-and-accumulate operations
0
‌
US Patent 11948618 Non-volatile analog resistive memory cells implementing ferroelectric select transistors
0
...
Patent Primary Examiner
‌
Chuong D. Ngo
Patent abstract

Technology is described herein for performing multiplication using non-volatile memory cells. A multiplicand may be stored a node that includes multiple non-volatile memory cells. Each memory cell in a node may be programmed to one of two physical states, with each non-volatile memory cell storing a different bit of the multiplicand. Multiplication may be performed by applying a multiply voltage to the node of memory cells and processing memory cell currents from the memory cells in the node. The memory cell current from each memory cell in the node is multiplied by a different power of two. The multiplied signals are summed to generate a “result signal,’ which represents a product of the multiplier and a multiplicand stored in the node. If desired, “binary memory cells” may be used to perform multiplication. Vector/vector and vector/matrix multiplication may also be performed.

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