In-Memory MAC Circuit With Built-In Subtraction for Signed MVM

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Solution Overview

Problem

Existing in-memory computation systems face challenges in efficiently performing signed multiply and accumulate operations due to the need for both positive and negative elaborations, which are not adequately addressed in current technologies.

Innovation Solution

An in-memory computation circuit with a memory array and analog-to-digital converter circuit that performs first and second multiply and accumulate elaborations, incrementing a count value and converting it to a negated count value using a 2's complement operation, to handle signed feature and weight data efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If signed MAC operations are performed with both positive and negative elaborations, then computation accuracy is improved, but device complexity increases

Engineering Contradiction:
Improvecomputation accuracyVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent merges the positive and negative elaboration results within a single memory array by using complementary bit line pairs (BL<A>+ and BL<A>-). The ADC circuit combines both elaborations sequentially, performing the 2's complement operation on the negative elaboration result and adding it to the positive elaboration result, thereby achieving accurate signed MAC operations without requiring separate memory arrays for each elaboration type.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent employs periodic action by sequentially performing the positive elaboration first, then the negative elaboration, with each elaboration completing before the next begins. This sequential periodic execution allows the system to handle both positive and negative weight contributions systematically, ensuring computation accuracy while managing device complexity through time-multiplexed operation.

Inventive Principle:
Principle #19Periodic action

2Adaptability or versatility

If data is transferred between memory device and computing device, then computation flexibility is improved, but power consumption increases

Engineering Contradiction:
Improvecomputation flexibilityVSAvoidpower consumption
Core Design Contradiction:
Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The patent implements self-service by enabling the memory array to perform MAC operations directly at the storage location. The memory cells themselves conduct the multiplication and accumulation operations using their stored weight values, eliminating the need to transfer data between separate memory and computing devices. This in-memory computation approach maintains computation flexibility while dramatically reducing power consumption associated with data movement.

Inventive Principle:
Principle #25Self-service

3Adaptability or versatility

If data is transferred between memory device and computing device, then computation flexibility is improved, but data transfer bandwidth requirements increase

Engineering Contradiction:
Improvecomputation flexibilityVSAvoiddata transfer bandwidth
Core Design Contradiction:
Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The memory array performs MAC operations in-place, with each memory cell contributing its stored weight value directly to the computation without requiring data extraction and re-input. The analog computation results are converted to digital values and stored back in the same memory structure, eliminating the need for high-bandwidth data transfer interfaces between separate memory and computing devices.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent introduces an analog-to-digital converter (ADC) circuit as an intermediary between the analog memory array and the digital processing domain. This ADC performs the critical function of converting analog computation results to digital values, enabling the system to maintain computation flexibility while avoiding the need for high-bandwidth digital data transfer interfaces.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12355443B2In-memory computation system with built-in subtraction mode for handling matrix vector multiplication of signed feature data and signed computational weight data
Publication Date: 2025.07.08 STMICROELECTRONICS INT NV
  • US12355443B2 patent drawing
  • US12355443B2 patent drawing
  • US12355443B2 patent drawing

AI summary

An in-memory computation circuit includes a memory array with memory cells arranged in a matrix in rows and columns. Groups of memory cells store computational weights for an in-memory compute (IMC) operation that is performed with a first multiply and accumulate (MAC) elaboration to produce a first analog signal and a second MAC elaboration to produce a second analog signal. An analog-to-digital converter circuit operates to: increment a count value in a counter circuit in response to the first analog signal; convert the count value in the counter circuit to a negated count value; and increment the count value in the counter circuit starting from the negated count value in response to the second analog signal.