Samsung electronics co., ltd. (20240354166). SYSTEMS, METHODS, AND APPARATUS FOR ASSOCIATING COMPUTATIONAL DEVICE FUNCTIONS WITH COMPUTE ENGINES simplified abstract

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SYSTEMS, METHODS, AND APPARATUS FOR ASSOCIATING COMPUTATIONAL DEVICE FUNCTIONS WITH COMPUTE ENGINES

Organization Name

samsung electronics co., ltd.

Inventor(s)

William Martin of Roseville CA (US)

Oscar P. Pinto of San Jose CA (US)

SYSTEMS, METHODS, AND APPARATUS FOR ASSOCIATING COMPUTATIONAL DEVICE FUNCTIONS WITH COMPUTE ENGINES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240354166 titled 'SYSTEMS, METHODS, AND APPARATUS FOR ASSOCIATING COMPUTATIONAL DEVICE FUNCTIONS WITH COMPUTE ENGINES

The abstract of the patent application describes a method that involves creating an association identifier based on the relationship between a computational device function and a compute engine of the device. This association identifier is then used in invoking an execute command to execute the computational device function using the compute engine. The method allows for overlapping executions of the computational device function using different compute engines within the device.

  • Association identifier created based on the relationship between computational device function and compute engine.
  • Execute command used to perform execution of computational device function using the compute engine.
  • Overlapping executions of the computational device function using different compute engines.
  • Create association command invoked to create the association identifier.
  • Potential for efficient and optimized execution of computational tasks within a computational device.

Potential Applications

The technology described in the patent application could be applied in various fields such as robotics, artificial intelligence, and high-performance computing where efficient execution of computational tasks is crucial.

Problems Solved

This technology addresses the need for optimized utilization of compute engines within a computational device, allowing for improved performance and resource management.

Benefits

The benefits of this technology include enhanced efficiency in executing computational tasks, better resource utilization, and potentially faster processing speeds within computational devices.

Commercial Applications

Optimized execution of computational tasks can have significant commercial implications in industries such as data centers, cloud computing, and IoT devices where performance and resource management are critical.

Prior Art

Prior art related to this technology may include research on task scheduling algorithms, resource allocation in computing systems, and parallel processing techniques.

Frequently Updated Research

Researchers may be exploring further optimizations in task execution within computational devices, advancements in compute engine technology, and improvements in resource management algorithms.

Questions about the Technology

How does this technology improve the overall performance of computational devices?

This technology improves performance by efficiently utilizing compute engines within the device, allowing for faster and more optimized execution of computational tasks.

What are the potential challenges in implementing this technology in real-world applications?

Challenges may include compatibility issues with existing systems, the need for specialized hardware, and the complexity of managing multiple compute engines simultaneously.


Original Abstract Submitted

a method may include creating an association identifier based on an association between a computational device function and a compute engine of a computational device, and invoking an execute command to perform an execution of the computational device function using the compute engine, wherein the execute command uses the association identifier. the compute engine may be a first compute engine, and the association may be further between the computational device function and a second compute engine of the computational device. the execute command may perform an execution of the computational device function using the second compute engine. the execution of the computational device function using the first compute engine and the execution of the computational device function using the second compute engine may overlap. the execute command may include the association identifier. the creating the association identifier may include invoking a create association command.