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Voltage margin enhanced capacitive coupling storage and calculation integrated unit, sub-array and device

A capacitive coupling and voltage margin technology, which is applied in the field of sub-arrays and devices, and the voltage margin enhanced capacitive coupling storage and computing integrated unit can solve the problems of high power consumption, long charging and discharging time, and large computing power consumption. , to achieve the effect of reducing power consumption

Active Publication Date: 2021-09-24
中科南京智能技术研究院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional calculation method of single-bit input multiplied by single-bit weight is inefficient, and there is no comparative advantage in calculation throughput; weight storage uses DRAM 1T1C structure, although the number of transistors can be saved, but DRAM’s own leakage needs to be refreshed, which consumes a lot of power consumption ;In the process of charging and discharging using coupling capacitors, the single-ended charging and discharging time is long, which is not conducive to fast calculation; in addition, the multiplication and accumulation calculation voltage quantization range accumulated on the read bit line is small, which is not conducive to ADC quantification, and the memory calculation power consumption larger

Method used

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  • Voltage margin enhanced capacitive coupling storage and calculation integrated unit, sub-array and device
  • Voltage margin enhanced capacitive coupling storage and calculation integrated unit, sub-array and device
  • Voltage margin enhanced capacitive coupling storage and calculation integrated unit, sub-array and device

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Embodiment 1

[0047] Such as figure 1 As shown, the present invention discloses a voltage margin-enhanced capacitive coupling storage and calculation integrated unit, the unit includes: a 6T-SRAM storage unit and a computing unit; the computing unit is connected to the 6T-SRAM storage unit; the The word line end of the 6T-SRAM memory cell is connected to the word line, the bit line end of the 6T-SRAM memory cell is connected to the bit line, and the reverse bit line end of the 6T-SRAM memory cell is connected to the reverse bit line; The input line end of the calculation unit is connected to the input line, the column selection line end of the calculation unit is connected to the column selection line; the read bit line end of the calculation unit is connected to the read bit line; the input line is used to transmit input data ; The 6T-SRAM storage unit is used to read, write and store the weight value; the calculation unit is used to multiply the input data and the weight value.

[0048] ...

Embodiment 2

[0065] Such as Figure 6 As shown, the present invention discloses a voltage margin-enhanced capacitively coupled storage and calculation integrated sub-array, the sub-array includes: K units described in Embodiment 1; K is a positive integer greater than or equal to 2; The word line, bit line, reverse bit line, input line and column selection line are connected, the read bit line is connected to the source of the transistor T12 in the first calculation unit, and the drain of the transistor T12 in the kth calculation unit is connected to the first transistor T12 in the calculation unit. There are k+1 source connections of the transistor T12 in the calculation unit, wherein k is a positive integer greater than or equal to 1 and less than K. In this embodiment, K is 4.

[0066] The principle of pressure equalization: such as Figure 7 As shown, after the input data is multiplied by the weight value, the calculation results are expressed as the voltages at both ends of the coup...

Embodiment 3

[0068] Such as Figure 8 As shown, the present invention also discloses a voltage margin enhanced capacitive coupling storage and calculation integrated device, which includes: a first input module, a second input module, a third input module and a computing unit array; the first input The module is a word line decoding and driving module ①; the second input module is a column decoding, bit line driving and pre-storage module ②; the third input module is an input decoding and driving module ④; the computing unit array The sub-array ③ described in Embodiment 2 comprising M×N arrays, wherein, M is a positive integer greater than 1, and N is a positive integer greater than 1.

[0069] The M word line ends of the first input module are respectively connected to M word lines; the N column selection line ends of the second input module are respectively connected to N column selection lines, and the bits of the second input module The line end is connected to the bit line, and the r...

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Abstract

The invention relates to a voltage margin enhanced capacitive coupling storage and calculation integrated unit, sub-array and device, the unit includes a 6T storage unit and a computing unit; the computing unit includes: transistor T7, transistor T8, transistor T9, transistor T10, transistor T11, Transistor T12 and coupling capacitor C. The voltage margin enhanced capacitive coupling storage and calculation integrated unit disclosed in the present invention charges the coupling capacitor, which saves 50% of the charging time compared with the single-ended charging method, and accelerates the calculation process; if the charging time is the same, the voltage value at both ends of the coupling capacitor It is twice that of the single-ended charging method, so that the voltage quantization range on the read bit line during the ADC quantization process will theoretically be doubled. Also in the discharge process, there are two discharge channels, and the discharge speed is theoretically twice that of single-ended discharge, which further accelerates the calculation process.

Description

technical field [0001] The invention relates to the technical field of in-memory computing, in particular to a voltage margin enhanced capacitive coupling memory-computing integrated unit, a sub-array and a device. Background technique [0002] The unprecedented growth in the size of deep neural networks (DNNs) has led to the need to move large amounts of data from off-chip memory to on-chip processing cores in modern machine learning (ML) accelerators. Compute-in-memory (CIM) designs, along with peripheral mixed-signal circuits, are being explored by the industry to alleviate this memory wall bottleneck: including memory latency and energy overhead. The monolithic integration of SRAM bit cells with high-performance logic transistors and interconnects enables custom CIM designs. [0003] The traditional calculation method of single-bit input multiplied by single-bit weight is inefficient, and there is no comparative advantage in calculation throughput; weight storage uses D...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/063G11C11/419
CPCG06N3/063G11C11/419
Inventor 乔树山史万武尚德龙周玉梅
Owner 中科南京智能技术研究院