MACHINE LEARNING-BASED TECHNIQUE FOR EXECUTION MODE SELECTION

Described herein are techniques for generating a compiled shader program. The techniques include identifying input features of a shader program, providing the identified input features of the shader program to a trained model for selecting compiler operation values for shader programs, receiving, as...

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Bibliographic Details
Main Authors Colbert, Ian Charles, Bedy, Michael John
Format Patent
LanguageEnglish
Published 04.03.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:Described herein are techniques for generating a compiled shader program. The techniques include identifying input features of a shader program, providing the identified input features of the shader program to a trained model for selecting compiler operation values for shader programs, receiving, as output from the trained model, a compiler operation value for the shader program, and generating a compiled shader program based on the compiler operation value for execution on one or more compute units.
Bibliography:Application Number: US201916584750