View source for Samsung electronics co., ltd. (20240111458). SYSTEM AND METHOD FOR IN-SSD DATA PROCESSING ENGINE SELECTION BASED ON STREAM IDS simplified abstract

=SYSTEM AND METHOD FOR IN-SSD DATA PROCESSING ENGINE SELECTION BASED ON STREAM IDS=


==Organization Name==

[[:Category:samsung electronics co., ltd.|samsung electronics co., ltd.]]


[[Category:samsung electronics co., ltd.]]

==Inventor(s)==

[[:Category:Jing Yang of San Jose CA (US)|Jing Yang of San Jose CA (US)]][[Category:Jing Yang of San Jose CA (US)]]

[[:Category:Jingpei Yang of San Jose CA (US)|Jingpei Yang of San Jose CA (US)]][[Category:Jingpei Yang of San Jose CA (US)]]

[[:Category:Rekha Pitchumani of Oak Hill VA (US)|Rekha Pitchumani of Oak Hill VA (US)]][[Category:Rekha Pitchumani of Oak Hill VA (US)]]

==SYSTEM AND METHOD FOR IN-SSD DATA PROCESSING ENGINE SELECTION BASED ON STREAM IDS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240111458 titled 'SYSTEM AND METHOD FOR IN-SSD DATA PROCESSING ENGINE SELECTION BASED ON STREAM IDS

==Simplified Explanation==

The abstract describes a multi-stream memory system with an in-device data processor that includes two data processing engines, a controller processor, and a processor memory. The controller processor executes instructions stored in the processor memory to identify a stream ID, associate it with a data processing engine based on a stream assignment table, and apply the data processing engine to generate processed data.

* In-device data processor with two data processing engines
* Controller processor executing instructions stored in processor memory
* Identification of stream ID and association with data processing engine
* Application of data processing engine to generate processed data

== Potential Applications ==
The technology described in this patent application could be applied in various fields such as:
* Data processing and analysis in computer systems
* Multimedia streaming and processing
* Network traffic management and optimization

== Problems Solved ==
This technology addresses the following issues:
* Efficient stream processing and management
* Streamlining data processing tasks
* Enhancing overall system performance and throughput

== Benefits ==
The benefits of this technology include:
* Improved data processing speed and efficiency
* Enhanced stream identification and assignment
* Optimal resource utilization in multi-stream memory systems

== Potential Commercial Applications ==
A potential commercial application of this technology could be in:
* High-performance computing systems
* Data centers and server farms
* Network infrastructure and telecommunications equipment

== Possible Prior Art ==
One possible prior art related to this technology could be:
* Previous patents or research on multi-stream memory systems
* Existing data processing engines and controllers in similar devices

=== Unanswered Questions ===

== How does this technology compare to existing stream processing systems in terms of performance and efficiency? ==
The article does not provide a direct comparison with existing stream processing systems, leaving a gap in understanding the competitive advantages of this technology.

== What are the potential limitations or constraints of implementing this technology in practical applications? ==
The article does not address any potential limitations or constraints that may arise when implementing this technology in real-world scenarios, leaving uncertainty about its feasibility and scalability.


==Original Abstract Submitted==

a multi-stream memory system includes an in-device data processor including a first data processing engine and a second data processing engine, a controller processor, and a processor memory coupled to the controller processor, wherein the processor memory has stored thereon instructions that, when executed by the controller processor, cause the controller processor to perform: identifying a stream id of an input stream, identifying the first data processing engine as being associated with the stream id based on a stream assignment table, and applying the first data processing engine to the input stream to generate processed data.



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