20240086102.SYSTEMS AND METHODS FOR EXECUTING DATA PROCESSING FUNCTIONS simplified abstract (samsung electronics co., ltd.)

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SYSTEMS AND METHODS FOR EXECUTING DATA PROCESSING FUNCTIONS

Organization Name

samsung electronics co., ltd.

Inventor(s)

Ramdas P. Kachare of Pleasanton CA (US)

Amir Beygi of San Jose CA (US)

Mostafa Aghaee of San Jose CA (US)

Jingchi Yang of Sunnyvale CA (US)

Tinh Tri Lac of Manteca CA (US)

Sonny Pham of Ramon CA (US)

Nayankumar Patel of Fremont CA (US)

SYSTEMS AND METHODS FOR EXECUTING DATA PROCESSING FUNCTIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240086102 titled 'SYSTEMS AND METHODS FOR EXECUTING DATA PROCESSING FUNCTIONS

Simplified Explanation

The patent application describes systems and methods for executing a data processing function using a storage accelerator. The first processing device of the storage accelerator loads an instruction set associated with a host computing device's application, while the second processing device loads an instruction set associated with the same application. The first processing device processes data based on identified criteria and writes the data to a buffer of the second processing device for further processing.

  • The patent application involves a storage accelerator that can efficiently process data based on specific criteria.
  • The system utilizes multiple processing devices to handle data processing tasks associated with a host computing device's application.
  • The first processing device identifies criteria related to the data and processes it accordingly, while the second processing device performs additional processing tasks on the data stored in its buffer.

Potential Applications

The technology described in the patent application could be applied in various fields such as:

  • Data processing and analysis in cloud computing environments.
  • Accelerating storage operations in high-performance computing systems.
  • Improving data processing efficiency in big data applications.

Problems Solved

The technology addresses the following issues:

  • Efficient data processing and storage acceleration.
  • Streamlining data processing tasks in complex computing environments.
  • Enhancing overall system performance by offloading processing tasks to specialized accelerators.

Benefits

The technology offers the following benefits:

  • Faster data processing and analysis.
  • Improved system performance and efficiency.
  • Enhanced scalability and flexibility in handling data-intensive applications.

Potential Commercial Applications

The technology could be commercially applied in:

  • Cloud computing service providers.
  • High-performance computing companies.
  • Big data analytics firms.

Possible Prior Art

One possible prior art for this technology could be the use of specialized accelerators in data processing systems to improve performance and efficiency.

Unanswered Questions

How does the technology handle data security and privacy concerns?

The patent application does not specifically address how data security and privacy are maintained while processing data. This aspect would be crucial for ensuring the technology's practicality in real-world applications.

What are the scalability limitations of the system?

The patent application does not mention the scalability limitations of the system in terms of handling increasing data processing demands. Understanding the system's scalability would be essential for deploying it in large-scale computing environments.


Original Abstract Submitted

systems and methods for executing a data processing function are disclosed. a first processing device of a storage accelerator loads a first instruction set associated with a first application of a host computing device. a second processing device of the storage accelerator loads a second instruction set associated with the first application. a command is received from the host computing device. the command may be associated with data associated with the first application. the first processing device identifies at least a first criterion or a second criterion associated with the data. the first processing device processes the data according to the first instruction set in response to identifying the first criterion. the first processing device writes the data to a buffer of the second processing device in response to identifying the second criterion. the second processing device processes the data in the buffer according to the second instruction set.