View source for 18328688. SYSTEMS AND METHODS FOR PROCESSING FORMATTED DATA IN COMPUTATIONAL STORAGE simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

=SYSTEMS AND METHODS FOR PROCESSING FORMATTED DATA IN COMPUTATIONAL STORAGE=


==Organization Name==

[[:Category:SAMSUNG ELECTRONICS CO., LTD.|SAMSUNG ELECTRONICS CO., LTD.]]


[[Category:SAMSUNG ELECTRONICS CO., LTD.]]

==Inventor(s)==

[[:Category:Jonghyeon Kim of San Jose CA (US)|Jonghyeon Kim of San Jose CA (US)]][[Category:Jonghyeon Kim of San Jose CA (US)]]

[[:Category:Soogil Jeong of Pleasanton CA (US)|Soogil Jeong of Pleasanton CA (US)]][[Category: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.



[[Category:G06F9/50]]
[[Category:G06F9/48]]
[[Category:G06F9/54]]
[[Category:CPC_G06F9/5027]]