IP Library Granted Patent US 12681695
Granted Patent B2
US 12681695 · App. 17/855,097 · Granted Jul 14, 2026

Weight stationary in-memory-computing neural network accelerator with localized data multiplexing

Inventors: Hechen Wang (Portland, OR); Renzhi Liu (Portland, OR); Richard Dorrance (Hillsboro, OR); Deepak Dasalukunte (Beaverton, OR); Shigeki Tomishima (Portland, OR)
Assignee: Intel Products IP LLC
G06F7/5443G06F2207/4824G11C11/419Y02D10/00
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Quick Facts
Patent No.
US 12681695
App. No.
17/855,097
Granted
Jul 14, 2026
Kind
B2
Abstract

Systems, apparatuses, and methods include technology that identifies that a first memory cell of a plurality of memory cells stores data that is associated with a multiply-accumulate operation. The plurality of memory cells is associated with a multiply-accumulator (MAC). The technology executes a connection operation to electrically connect the first memory cell to the MAC to execute the multiply-accumulate operation. A second memory cell of the plurality of memory cells is electrically disconnected from the MAC during the multiply-accumulate operation. The technology executes, with the MAC, the multiply-accumulate operation based on the data.

Claims (67)

1 . A computing system comprising:

a plurality of memory cells;

a charge domain multiply-accumulator that includes a plurality of capacitors; and

a controller implemented in one or more of configurable logic or fixed-functionality logic hardware, wherein the controller is to:

identify that a first memory cell of the plurality of memory cells stores data that is associated with a charge domain multiply-accumulate operation, wherein the first memory cell comprises first latches to store the data, a first switch controlled by a first control signal, and a first inverter between the first latches and the first switch;

execute a connection operation to electrically connect the first memory cell to the charge domain multiply-accumulator to execute the charge domain multiply-accumulate operation by applying the first control signal to the first switch, wherein a second memory cell of the plurality of memory cells is electrically disconnected from the charge domain multiply-accumulator during the charge domain multiply-accumulate operation; and

execute, with the charge domain multiply-accumulator, the charge domain multiply-accumulate operation based on the data.

2 . The computing system of claim 1 , wherein the charge domain multiply-accumulate operation is to include a generation, with the charge domain multiply-accumulator, of a first analog signal based on multibit computation operations that are executed based on the data.

3 . The computing system of claim 1 , wherein:

the second memory cell comprises second latches, a second switch controllable by a second control signal, and a second inverter between the second latches and the second switch; and

the controller is further to: apply the second control signal to the second switch during the charge domain multiply-accumulate operation.

4 . The computing system of claim 3 , further comprising a common read bit conductor that electrically connects to the charge domain multiply-accumulator and is associated with the plurality of memory cells;

wherein:

the first switch is to selectively electrically connect the first inverter to the common read bit conductor; and

the second switch is to selectively electrically connect the second inverter to the common read bit conductor.

5 . The computing system of claim 3 , wherein:

a side of the first latches is connected to an input of the first inverter;

the first switch selectively connects an output of the first inverter to a common read bit line according to the first control signal; and

the second switch selectively connects the second inverter to the common read bit line according to the second control signal.

6 . The computing system of claim 3 , wherein the first switch and the second switch form a multiplexer.

7 . The computing system of claim 1 , wherein the data is weight data associated with a neural network operation.

8 . The computing system of claim 1 , wherein the first inverter is to electrically isolate the first memory cell from noise.

9 . The computing system of claim 1 , wherein the plurality of memory cells is a static random-access memory, a dynamic random-access memory, a magnetoresistive random-access memory, or a phase-change memory.

10 . The computing system of claim 1 , wherein the charge domain multiply-accumulator includes a C-2C ladder that includes the plurality of capacitors.

11 . The computing system of claim 1 , wherein:

the first latches include four transistors;

the first inverter includes two transistors; and

the first switch includes one transistor.

12 . The computing system of claim 1 , wherein:

the plurality of capacitors are Metal-Oxide-Metal capacitors placed on top of the first memory cell and the second memory cell.

13 . The computing system of claim 1 , wherein:

the plurality of capacitors include a plurality of branches;

each branch has a branch switch controllable by a bit and a branch capacitor; and

at least one serial capacitor inserted between two branches of the plurality of branches.

14 . The computing system of claim 13 , wherein:

the branch capacitor has one unit capacitance; and

a serial capacitor of the at least one serial capacitor has two unit capacitances.

15 . The computing system of claim 1 , wherein the charge domain multiply-accumulator is to receive an input activation signal of a neural network.

16 . An in-memory computing system, comprising:

a charge domain multiply-accumulator that includes a plurality of capacitors;

a common read bit conductor that is electrically connected to the charge domain multiply-accumulator; and

a memory array including a first memory cell and a second memory cell;

wherein:

the first memory cell comprises first latches, a first transistor, and a first inverter between the first latches and the first transistor;

the second memory cell comprises second latches, a second transistor, and a second inverter between the second latches and the second transistor;

the first transistor is to selectively connect a first output of the first inverter to the common read bit conductor; and

the second transistor is to selectively connect a second output of the second inverter to the common read bit conductor.

17 . The in-memory computing system of claim 16 , further comprising:

a controller, implemented at least partly in one or more of configurable logic or fixed-functionality logic hardware, to:

identify that the first memory cell stores data that is associated with a charge domain multiply-accumulate operation;

control the first transistor to electrically connect the first memory cell to the charge domain multiply-accumulator via the common read bit conductor; and

control the second transistor to electrically disconnect the second memory cell from the charge domain multiply-accumulator during execution of the charge domain multiply-accumulate operation.

18 . The in-memory computing system of claim 17 , further comprising:

a first local read word line to carry a first signal to control the first transistor; and

a second local read word line to carry a second signal to control the second transistor.

19 . The in-memory computing system of claim 17 , wherein the charge domain multiply-accumulator is configured to execute the charge domain multiply-accumulate operation using a C-2C ladder that includes the plurality of capacitors.

20 . The in-memory computing system of claim 19 , wherein the charge domain multiply-accumulate operation is to include a generation, with the charge domain multiply-accumulator, of a first analog signal based on multibit computation operations that are executed based on the data.

21 . The in-memory computing system of claim 16 , wherein the first inverter and the second inverter are to electrically isolate the first memory cell and the second memory cell from noise on the common read bit conductor.

22 . The in-memory computing system of claim 21 , wherein the first memory cell includes at least nine transistors and the second memory cell includes at least nine transistors.

23 . The in-memory computing system of claim 16 , wherein the first transistor and the second transistor form a multiplexer.

24 . A method for performing a charge domain multiply-accumulate operation:

identifying, by a controller implemented in one or more of configurable logic or fixed-functionality logic hardware, that a first memory cell of a plurality of memory cells stores data that is associated with the charge domain multiply-accumulate operation, wherein the first memory cell comprises first latches to store the data, a first switch controlled by a first control signal, and a first inverter between the first latches and the first switch;

applying, by the controller on a first local read word line, the first control signal to the first switch to electrically connect the first memory cell to a common read bit line connected to a charge domain multiply-accumulator, wherein the charge domain multiply-accumulator has a C-2C ladder;

applying, by the controller on a second local read word line, a second control signal to a second switch of a second memory cell of the plurality of memory cells to electrically disconnect the second memory cell from the common read bit line connected to the charge domain multiply-accumulator; and

executing, by the charge domain multiply-accumulator, the charge domain multiply-accumulate operation based on the data.

25 . The method of claim 24 , wherein executing the charge domain multiply-accumulate operation based on the data comprises:

generating, with the charge domain multiply-accumulator, a first analog signal based on multibit computation operations that are executed based on the data.