Invention Grant
- Patent Title: Circuits and methods for in-memory computing
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Application No.: US17828964Application Date: 2022-05-31
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Publication No.: US11783875B2Publication Date: 2023-10-10
- Inventor: Mingoo Seok , Zhewei Jiang , Jae-sun Seo , Shihui Yin
- Applicant: The Trustees of Columbia University in the City of New York
- Applicant Address: US NY New York
- Assignee: The Trustees of Columbia University in the City of New York
- Current Assignee: The Trustees of Columbia University in the City of New York
- Current Assignee Address: US NY New York
- Agency: Byrne Poh LLP
- Main IPC: G11C7/10
- IPC: G11C7/10 ; G11C15/04 ; G06F7/501 ; G06F7/544 ; G11C16/34

Abstract:
In some embodiments, an in-memory-computing SRAM macro based on capacitive-coupling computing (C3) (which is referred to herein as “C3SRAM”) is provided. In some embodiments, a C3SRAM macro can support array-level fully parallel computation, multi-bit outputs, and configurable multi-bit inputs. The macro can include circuits embedded in bitcells and peripherals to perform hardware acceleration for neural networks with binarized weights and activations in some embodiments. In some embodiments, the macro utilizes analog-mixed-signal capacitive-coupling computing to evaluate the main computations of binary neural networks, binary-multiply-and-accumulate operations. Without needing to access the stored weights by individual row, the macro can assert all of its rows simultaneously and form an analog voltage at the read bitline node through capacitive voltage division, in some embodiments. With one analog-to-digital converter (ADC) per column, the macro cab realize fully parallel vector-matrix multiplication in a single cycle in accordance with some embodiments.
Public/Granted literature
- US20230089348A1 CIRCUITS AND METHODS FOR IN-MEMORY COMPUTING Public/Granted day:2023-03-23
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