18530035. SYSTEM AND METHOD FOR IN-SSD DATA PROCESSING ENGINE SELECTION BASED ON STREAM IDS simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 SYSTEM AND METHOD FOR IN-SSD DATA PROCESSING ENGINE SELECTION BASED ON STREAM IDS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR IN-SSD DATA PROCESSING ENGINE SELECTION BASED ON STREAM IDS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
SYSTEM AND METHOD FOR IN-SSD DATA PROCESSING ENGINE SELECTION BASED ON STREAM IDS
Organization Name
Inventor(s)
Jingpei Yang of San Jose CA (US)
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 18530035 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, and process the input stream.
- 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
- Processing of input stream to generate processed data
Potential Applications
This technology could be applied in various fields such as data processing, image and video processing, network traffic analysis, and real-time processing of multiple streams of data.
Problems Solved
This technology solves the problem of efficiently processing multiple streams of data by assigning specific data processing engines to each stream based on their stream ID, thus optimizing the processing workflow.
Benefits
The benefits of this technology include improved data processing efficiency, reduced processing time, optimized resource allocation, and enhanced overall system performance.
Potential Commercial Applications
"Optimizing Data Processing with Multi-Stream Memory System": This section could discuss how this technology can be utilized in industries such as telecommunications, surveillance systems, data centers, and multimedia applications to enhance data processing capabilities and improve system performance.
Possible Prior Art
One possible prior art could be the use of multi-core processors in data processing systems to handle multiple streams of data simultaneously. Another could be the use of stream processing architectures in high-performance computing systems to accelerate data processing tasks.
Unanswered Questions
How does this technology compare to traditional single-stream memory systems in terms of performance and efficiency?
This article does not provide a direct comparison between multi-stream memory systems and traditional single-stream memory systems in terms of performance and efficiency.
What are the potential limitations or challenges of implementing this technology in real-world applications?
The article does not address the potential limitations or challenges of implementing this technology in real-world applications, such as compatibility issues, scalability concerns, or cost implications.
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.
