18544348. HIGHLY EFFICIENT INEXACT COMPUTING STORAGE DEVICE simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

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HIGHLY EFFICIENT INEXACT COMPUTING STORAGE DEVICE

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Yang Seok Ki of Palo Alto CA (US)

HIGHLY EFFICIENT INEXACT COMPUTING STORAGE DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18544348 titled 'HIGHLY EFFICIENT INEXACT COMPUTING STORAGE DEVICE

Simplified Explanation

The abstract of the patent application describes a system that includes a receiver to receive a task with a portion of an algorithm, task power level, and task precision. The system also includes a circuit with a circuit power level and circuit precision. The system utilizes software to identify the circuit and assign the task to the circuit to reduce total power, with the circuit precision being greater than the task precision.

  • The system includes a receiver to receive a task with specific parameters.
  • The system includes a circuit with its own power level and precision.
  • Software is used to identify the circuit and assign tasks to optimize power consumption.
  • The circuit precision is higher than the task precision.

Potential Applications

This technology could be applied in various fields such as:

  • Energy-efficient computing systems
  • IoT devices
  • Embedded systems

Problems Solved

This technology helps in solving the following problems:

  • Optimizing power consumption in circuits
  • Efficient task allocation in systems

Benefits

The benefits of this technology include:

  • Reduced total power consumption
  • Improved efficiency in task allocation
  • Enhanced performance of systems

Potential Commercial Applications

Potential commercial applications of this technology could include:

  • Smartphones and mobile devices
  • Wearable technology
  • Industrial automation systems

Possible Prior Art

One possible prior art for this technology could be:

  • Power management techniques in computing systems

Unanswered Questions

How does this technology compare to existing power optimization methods in terms of efficiency and performance?

This article does not provide a direct comparison with existing power optimization methods. It would be beneficial to understand the specific advantages and disadvantages of this technology compared to traditional approaches.

What are the scalability limitations of this technology when applied to larger and more complex systems?

The scalability of this technology in larger and more complex systems is not addressed in the article. Understanding how this technology performs in such scenarios would be crucial for its practical implementation.


Original Abstract Submitted

A system may include a receiver to receive a task. The task may include a portion of an algorithm, and may include a task power level and a task precision. The system may also include a circuit including a circuit power level and a circuit precision. The system may include first software to identify the circuit, and second software to assign the task to the circuit to reduce total power. The circuit precision may be greater than the task precision.