Nvidia corporation (20240289129). APPLICATION PROGRAMMING INTERFACE TO MODIFY THREAD simplified abstract

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APPLICATION PROGRAMMING INTERFACE TO MODIFY THREAD

Organization Name

nvidia corporation

Inventor(s)

Piotr Tomasz Ciolkosz of Stalowa Wola (PL)

Kyrylo Perelygin of Broomfield CO (US)

Harold Carter Edwards of Campbell CA (US)

Gonzalo Brito Gadeschi of Munich (DE)

Georgii Evtushenko of Yerevan (AM)

Jake Hemstad of Bloomington MN (US)

Vishalkumar Ketankumar Mehta of Stäfa (CH)

Michal Dominiak of Santa Clara CA (US)

Olivier Giroux of Santa Clara CA (US)

Konstantinos Kyriakopoulos of Weinsberg (DE)

APPLICATION PROGRAMMING INTERFACE TO MODIFY THREAD - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240289129 titled 'APPLICATION PROGRAMMING INTERFACE TO MODIFY THREAD

Simplified Explanation: The patent application describes apparatuses, systems, and techniques to select a single thread from a group of threads to perform a set of instructions using an application programming interface (API).

Key Features and Innovation:

  • Processors or computer systems are used to indicate instructions for a single thread and select that thread from a group of threads to execute the instructions.
  • The API allows for efficient management and execution of instructions by selecting a specific thread for optimal performance.
  • This innovation enhances the control and allocation of tasks within a multi-threaded environment, improving overall system efficiency.

Potential Applications: This technology can be applied in various fields such as:

  • Operating systems
  • Parallel computing
  • Server management
  • Real-time systems

Problems Solved:

  • Efficient utilization of resources in multi-threaded systems
  • Improved task allocation and execution
  • Enhanced performance and scalability in computing environments

Benefits:

  • Increased system efficiency
  • Better resource management
  • Enhanced performance and responsiveness
  • Scalability in handling multiple tasks simultaneously

Commercial Applications: Potential commercial applications include:

  • Cloud computing services
  • Data centers
  • High-performance computing clusters
  • Real-time processing systems

Prior Art: Prior art related to this technology may include research on thread management, task scheduling, and parallel computing techniques.

Frequently Updated Research: Stay updated on advancements in thread management, task allocation algorithms, and parallel computing technologies for the latest developments in this field.

Questions about thread selection technology: 1. How does the API in this technology improve task execution in multi-threaded systems? 2. What are the key advantages of selecting a single thread for executing a set of instructions in a group of threads?


Original Abstract Submitted

apparatuses, systems, and techniques to perform an application programming interface (api) to select a single thread from a group of threads to perform a set of instructions. in at least one embodiment, processors or computer systems are to perform an api to indicate instructions to be performed by a single thread and to select that thread from a group of threads to perform said instructions.