BARRIERS AND SYNCHRONIZATION FOR MACHINE LEARNING AT AUTONOMOUS MACHINES

A mechanism is described for facilitating barriers and synchronization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting thread groups relating to machine learning associated with one or more processing devices. The method may further inclu...

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Bibliographic Details
Main Authors HURD, Linda L, MACPHERSON, Mike B, RANGANATHAN, Vasanth, WEAST, John C, JAHAGIRDAR, Sanjeev, KOKER, Altug, APPU, Abhishek R, VEMBU, Balaji, KIM, Dukhwan, RAY, Joydeep
Format Patent
LanguageEnglish
French
German
Published 30.10.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A mechanism is described for facilitating barriers and synchronization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting thread groups relating to machine learning associated with one or more processing devices. The method may further include facilitating barrier synchronization of the thread groups across multiple dies such that each thread in a thread group is scheduled across a set of compute elements associated with the multiple dies, where each die represents a processing device of the one or more processing devices, the processing device including a graphics processor.
Bibliography:Application Number: EP20210178579