18370817. SYSTEM AND METHOD FOR ACCELERATED DATA PROCESSING IN SSDS simplified abstract (Samsung Electronics Co., Ltd.)
Contents
SYSTEM AND METHOD FOR ACCELERATED DATA PROCESSING IN SSDS
Organization Name
Inventor(s)
Ramdas P. Kachare of Pleasanton CA (US)
Vijay Balakrishnan of Mountain View CA (US)
Stephen G. Fischer of San Jose CA (US)
Fred Worley of San Jose CA (US)
Anahita Shayesteh of Los Altos CA (US)
SYSTEM AND METHOD FOR ACCELERATED DATA PROCESSING IN SSDS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18370817 titled 'SYSTEM AND METHOD FOR ACCELERATED DATA PROCESSING IN SSDS
Simplified Explanation
The patent application describes a system that includes multiple storage processing accelerators (SPAs) and programmable processors or storage processing engines (SPEs). The SPEs are connected in a pipeline, where the output of one SPE is used as the input for the next SPE. The system also includes an acceleration platform manager (APM) that controls data processing in the SPAs and SPEs.
- The system includes multiple SPAs and SPEs, allowing for parallel processing and improved performance.
- The SPEs are connected in a pipeline, enabling efficient data flow from one SPE to the next.
- The APM manages and controls the data processing in the SPAs and SPEs, ensuring efficient utilization of resources.
Potential applications of this technology:
- High-performance computing: The system can be used in applications that require intensive data processing, such as scientific simulations, financial modeling, and artificial intelligence.
- Data analytics: The parallel processing capabilities of the system make it suitable for big data analytics, enabling faster and more efficient analysis of large datasets.
- Video processing: The system can be used in video encoding and decoding applications, improving the speed and efficiency of video processing tasks.
Problems solved by this technology:
- Improved performance: The parallel processing and pipeline architecture of the system allow for faster and more efficient data processing, addressing the need for high-performance computing.
- Resource utilization: The APM ensures optimal utilization of the SPAs and SPEs, maximizing the efficiency of data processing and reducing resource wastage.
Benefits of this technology:
- Faster data processing: The parallel processing and pipeline architecture enable faster data processing, reducing the time required for complex computations.
- Improved efficiency: The system optimizes resource utilization, leading to improved efficiency and cost-effectiveness.
- Scalability: The system can be scaled by adding more SPAs and SPEs, allowing for increased processing power as needed.
Original Abstract Submitted
A system includes a plurality of storage processing accelerators (SPAs), at least one SPA of the plurality of SPAs including a plurality of programmable processors or storage processing engines (SPEs), the plurality of SPEs including n SPEs (n is a natural number greater than zero), where 1st to (n−1) SPEs of the n SPEs are configured to provide an output of the SPE to a next SPE of the n SPEs in a pipeline to be used as an input of the next SPE; and an acceleration platform manager (APM) connected to the plurality of the SPAs and the plurality of SPEs, and configured to control data processing in the plurality of SPAs and the plurality of SPEs.
