REAL-TIME HARDWARE-ASSISTED GPU TUNING USING MACHINE LEARNING

Graphics processing unit (GPU) performance and power efficiency is improved using machine learning to tune operating parameters based on performance monitor values and application information. Performance monitor values are processed using machine learning techniques to generate model parameters, wh...

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Bibliographic Details
Main Authors Sharma, Siddharth, Kilgariff, Emmett M, Dimitrov, Rouslan L, Idgunji, Sachin Satish, Kirkland, Dale L
Format Patent
LanguageEnglish
Published 12.01.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:Graphics processing unit (GPU) performance and power efficiency is improved using machine learning to tune operating parameters based on performance monitor values and application information. Performance monitor values are processed using machine learning techniques to generate model parameters, which are used by a control unit within the GPU to provide real-time updates to the operating parameters. In one embodiment, a neural network processes the performance monitor values to generate operating parameters in real-time.
Bibliography:Application Number: US202217932539