Samsung electronics co., ltd. (20240329872). ADJUSTABLE FUNCTION-IN-MEMORY COMPUTATION SYSTEM simplified abstract
Contents
ADJUSTABLE FUNCTION-IN-MEMORY COMPUTATION SYSTEM
Organization Name
Inventor(s)
Krishna T. Malladi of San Jose CA (US)
ADJUSTABLE FUNCTION-IN-MEMORY COMPUTATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240329872 titled 'ADJUSTABLE FUNCTION-IN-MEMORY COMPUTATION SYSTEM
Simplified Explanation:
The method described in the abstract involves executing instructions in-memory to perform computing tasks, storing values in buffers, and using those values as arguments for subsequent instructions.
- The method involves executing instructions in-memory to perform computing tasks.
- Values produced as a result of executing instructions are stored in buffers.
- The stored values are later read and used as arguments for subsequent instructions.
- The process involves directly storing values in buffers for efficient data handling.
Key Features and Innovation:
- Execution of instructions in-memory.
- Storing values in buffers for efficient data handling.
- Direct storage of values in buffers for improved performance.
Potential Applications:
The technology can be applied in various fields such as data processing, artificial intelligence, and high-performance computing.
Problems Solved:
The technology addresses the need for efficient in-memory computing and data handling.
Benefits:
- Improved performance in computing tasks.
- Efficient data handling and processing.
- Enhanced speed and accuracy in executing instructions.
Commercial Applications:
Potential commercial applications include data centers, cloud computing services, and high-performance computing industries.
Prior Art:
Readers can explore prior research on in-memory computing, data processing, and buffer storage technologies.
Frequently Updated Research:
Stay updated on the latest advancements in in-memory computing, data processing, and buffer storage technologies.
Questions about In-Memory Computing:
1. What are the key advantages of in-memory computing over traditional computing methods? 2. How does in-memory computing improve data processing speed and efficiency?
Original Abstract Submitted
a method for in-memory computing. in some embodiments, the method includes: executing, by a first function-in-memory circuit, a first instruction, to produce, as a result, a first value, wherein a first computing task includes a second computing task and a third computing task, the second computing task including the first instruction; storing, by the first function-in-memory circuit, the first value in a first buffer; reading, by a second function-in-memory circuit, the first value from the first buffer; and executing, by a second function-in-memory circuit, a second instruction, the second instruction using the first value as an argument, the third computing task including the second instruction, wherein: the storing, by the first function-in-memory circuit, of the first value in the first buffer includes directly storing the first value in the first buffer.
