Nvidia corporation (20240118899). SCALARIZATION OF INSTRUCTIONS FOR SIMT ARCHITECTURES simplified abstract

SCALARIZATION OF INSTRUCTIONS FOR SIMT ARCHITECTURES

Organization Name

nvidia corporation

Inventor(s)

Aditya Avinash Atluri of Redmond WA (US)

Jack Choquette of Palo Alto CA (US)

Carter Edwards of Campbell CA (US)

Olivier Giroux of Santa Clara CA (US)

Praveen Kumar Kaushik of Bengaluru (IN)

Ronny Krashinsky of Portola Valley CA (US)

Rishkul Kulkarni of Austin TX (US)

Konstantinos Kyriakopoulos of Weinsberg (DE)

SCALARIZATION OF INSTRUCTIONS FOR SIMT ARCHITECTURES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240118899 titled 'SCALARIZATION OF INSTRUCTIONS FOR SIMT ARCHITECTURES

Simplified Explanation

The patent application describes apparatuses, systems, and techniques for adapting instructions in a SIMT architecture for execution on serial execution units. In one embodiment, a set of one or more threads is selected from a group of active threads associated with an instruction, and the instruction is executed for the set of threads on a serial execution unit.

• Explanation:
• Selects threads from a group of active threads for instruction execution
• Executes the instruction on a serial execution unit for the selected threads

Potential Applications: This technology could be applied in high-performance computing systems, graphics processing units, and other parallel computing environments.

Problems Solved: This technology helps optimize instruction execution in SIMT architectures by adapting instructions for serial execution units, improving overall system performance.

Benefits: Improved efficiency in executing instructions, better utilization of resources, enhanced performance in parallel computing environments.

Potential Commercial Applications: This technology could be valuable in industries such as data centers, scientific research, artificial intelligence, and virtual reality for optimizing computing tasks.

Possible Prior Art: Prior art may include techniques for optimizing instruction execution in parallel computing systems, such as thread scheduling algorithms and SIMD architectures.

Unanswered Questions:

• How does this technology compare to existing methods for adapting instructions in parallel computing environments?
• What impact does this technology have on overall system performance and energy efficiency compared to traditional approaches?

Original Abstract Submitted

apparatuses, systems, and techniques to adapt instructions in a simt architecture for execution on serial execution units. in at least one embodiment, a set of one or more threads is selected from a group of active threads associated with an instruction and the instruction is executed for the set of one or more threads on a serial execution unit.