18328688. SYSTEMS AND METHODS FOR PROCESSING FORMATTED DATA IN COMPUTATIONAL STORAGE simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
- 1 SYSTEMS AND METHODS FOR PROCESSING FORMATTED DATA IN COMPUTATIONAL STORAGE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR PROCESSING FORMATTED DATA IN COMPUTATIONAL STORAGE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
SYSTEMS AND METHODS FOR PROCESSING FORMATTED DATA IN COMPUTATIONAL STORAGE
Organization Name
Inventor(s)
Jonghyeon Kim of San Jose CA (US)
Soogil Jeong of Pleasanton CA (US)
SYSTEMS AND METHODS FOR PROCESSING FORMATTED DATA IN COMPUTATIONAL STORAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18328688 titled 'SYSTEMS AND METHODS FOR PROCESSING FORMATTED DATA IN COMPUTATIONAL STORAGE
Simplified Explanation
The method described in the patent application involves performing computations near memory by utilizing custom instructions to accelerate operations on data sets.
- Receiving first data in a specific format at a storage device.
- Receiving a request to perform a function on the first data, involving two operations.
- Utilizing a processor-core acceleration engine to perform the first operation on the data based on custom instructions.
- Using an extra-processor-core circuit to perform the second operation on the result data also based on custom instructions.
Key Features and Innovation
- Custom instructions for accelerating operations on data sets.
- Utilization of a processor-core acceleration engine and an extra-processor-core circuit for efficient computation near memory.
Potential Applications
This technology could be applied in various fields such as data processing, artificial intelligence, and high-performance computing.
Problems Solved
This technology addresses the need for faster and more efficient computation near memory, reducing processing time and improving overall performance.
Benefits
- Faster computation near memory.
- Improved efficiency in processing data sets.
- Enhanced performance in tasks requiring complex operations on large data sets.
Commercial Applications
- Data centers for high-speed data processing.
- AI applications for quick decision-making processes.
- Scientific research for complex simulations and calculations.
Questions about the Technology
How does this technology improve processing speed compared to traditional methods?
This technology accelerates operations on data sets by utilizing custom instructions and specialized circuits, reducing processing time significantly.
What are the potential drawbacks or limitations of implementing this technology?
Potential drawbacks could include the complexity of integrating custom instructions and circuits into existing systems, as well as the cost associated with implementing such specialized hardware.
Original Abstract Submitted
Provided is a method for performing computations near memory, the method including receiving, at a storage device, first data associated with a first data set, the first data having a first format, receiving, at a processor core of the storage device, a request to perform a function on the first data, the function including a first operation and a second operation, performing, by a first processor-core acceleration engine of the storage device, the first operation on the first data, based on first processor-core custom instructions, to generate first result data, and performing, by a first extra-processor-core circuit of the storage device, the second operation on the first result data, based on the first processor-core custom instructions.
