DEVICE AND METHOD WITH IN-MEMORY COMPUTING

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Wooseok Yi of Suwon-si (KR)

Soon-Wan Kwon of Suwon-si (KR)

Seungchul Jung of Suwon-si (KR)

DEVICE AND METHOD WITH IN-MEMORY COMPUTING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18322837 titled 'DEVICE AND METHOD WITH IN-MEMORY COMPUTING

Simplified Explanation

The memory device described in the patent application includes a computing module and an in-memory computing (IMC) macro. The IMC macro consists of a memory with bit cells storing fraction data from a first data set. The IMC computing module performs operations between the fraction data from the first data set and fraction data from a second data set.

The memory device has a computing module and an in-memory computing (IMC) macro.
The IMC macro includes a memory storing fraction data from a first data set.
The IMC computing module performs operations between the fraction data from the first data set and a second data set.
The first data set shares a common exponent among its data pieces, as does the second data set.

Key Features and Innovation

Utilizes in-memory computing (IMC) for performing operations on fraction data.
Efficiently processes data sets with shared exponents for improved computational performance.

Potential Applications

Data processing in memory-intensive applications.
Scientific computing for complex calculations.
Financial modeling and analysis.

Problems Solved

Enhanced computational efficiency.
Streamlined data processing.
Improved accuracy in calculations.

Benefits

Faster data processing.
Reduced computational load on the main processor.
Increased accuracy in results.

Commercial Applications

The technology can be applied in various industries such as finance, scientific research, and data analytics for faster and more accurate computations, leading to improved decision-making processes and operational efficiency.

Questions about the Technology

What are the potential applications of in-memory computing in other fields beyond data processing?

In-memory computing can also be utilized in fields such as artificial intelligence, machine learning, and real-time analytics to accelerate data processing and improve decision-making processes.

How does the shared exponent concept in the data sets contribute to computational efficiency?

By sharing a common exponent among data pieces, the computational operations can be optimized, reducing the complexity of calculations and improving overall performance.

Original Abstract Submitted

A memory device includes: a computing module; and an in-memory computing (IMC) macro comprising: a memory comprising a plurality of bit cells storing pieces of fraction data of a first data set; and an IMC computing module configured to perform an operation between the pieces of fraction data of the first data set read from the memory and pieces of fraction data of a second data set received from an input control module, wherein a plurality of pieces of data included in the first data set share a first exponent, and wherein a plurality of pieces of data included in the second data set share a second exponent.