Nvidia corporation (20240289186). APPLICATION PROGRAMMING INTERFACE TO SHARE DATA WITH THREADS simplified abstract

APPLICATION PROGRAMMING INTERFACE TO SHARE DATA WITH THREADS

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 SHARE DATA WITH THREADS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240289186 titled 'APPLICATION PROGRAMMING INTERFACE TO SHARE DATA WITH THREADS

Simplified Explanation: The patent application describes apparatuses, systems, and techniques for selecting a single thread from a group of threads to perform a set of instructions and broadcasting the result to the group of threads.

Key Features and Innovation:

• Application Programming Interface (API) to select a single thread from a group of threads.
• Ability to indicate instructions for a single thread to perform and selecting the thread.
• Broadcasting the result of the instructions to the group of threads.
• Making data generated from the instructions available to the group of threads.

Potential Applications: This technology could be used in multi-threaded programming environments where specific tasks need to be assigned to individual threads efficiently.

Problems Solved: This technology addresses the challenge of coordinating and managing multiple threads in a parallel computing system.

Benefits:

• Improved efficiency in task allocation among threads.
• Enhanced performance in multi-threaded applications.
• Simplified management of thread execution.

Commercial Applications: Potential commercial applications include high-performance computing, server applications, and parallel processing systems.

Prior Art: Prior research in the field of parallel computing and multi-threaded programming may provide insights into similar technologies.

Frequently Updated Research: Stay updated on advancements in parallel computing, multi-threaded programming, and API design for efficient task allocation.

Questions about the Technology: 1. How does this technology improve the performance of multi-threaded applications? 2. What are the key considerations when implementing this API in a parallel computing system?

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 and to broadcast a result of performance of said set of instructions to said group of threads. 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, and to make available to said group of threads data generated as a result of performance of said instructions.