18105679. SCALARIZATION OF INSTRUCTIONS FOR SIMT ARCHITECTURES simplified abstract (NVIDIA Corporation)

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 18105679 titled 'SCALARIZATION OF INSTRUCTIONS FOR SIMT ARCHITECTURES

Simplified Explanation

The abstract 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.

• This innovation focuses on adapting instructions originally designed for SIMT architecture to be executed on serial execution units.
• The process involves selecting a specific set of threads related to an instruction and executing it on a serial execution unit.
• The goal is to optimize the execution of instructions in a way that improves performance and efficiency in computing systems.

Potential Applications

This technology could be applied in:

• High-performance computing systems
• Data centers
• Scientific research applications

Problems Solved

• Efficient execution of instructions in SIMT architecture on serial execution units
• Improving performance and scalability of computing systems

Benefits

• Enhanced performance and efficiency in computing systems
• Adaptation of instructions for different types of execution units
• Optimization of resource utilization in parallel computing environments

Potential Commercial Applications

Optimizing instruction execution in various industries such as:

• Finance
• Healthcare
• Manufacturing

Possible Prior Art

One possible prior art could be techniques for optimizing instruction execution in parallel computing systems.

Unanswered Questions

How does this technology compare to existing methods of adapting instructions for different execution units?

This article does not provide a direct comparison with existing methods, leaving the reader to wonder about the specific advantages of this innovation.

What are the specific technical challenges faced in adapting instructions from SIMT architecture to serial execution units?

The article does not delve into the technical challenges involved in this adaptation process, leaving room for further exploration into the complexities of the technology.

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.