Bevorrechtigung in einem Hardware-Beschleuniger für Maschinelles Lernen
Anmelder: GOOGLE LLC 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP4715590
- Anmeldetag
- 21. Dezember 2020
- Veröffentlichung
- 25. März 2026
- Rechtsraum
- EP
- IPC
- G06F9/48, G06F9/46, G06N3/063G06F9/48
Abstract
The present disclosure relates to a method, system and non-transitory computer readable storage medium. The method involves operating a machine learning accelerator, comprising steps of: executing, by a scalar core directing a plurality of compute units of the machine learning accelerator, a first process in a first context, wherein the first process is a long-running process; identifying, by a job scheduler of the machine learning accelerator, that a second process is queued, wherein the second process has a higher priority than a priority of the long-running process, and upon reaching a preemption checkpoint: determining, by the scalar core, an amount of available resources and in response to the amount of available resources being sufficient for the second process: pausing, by the scalar core, execution of the first process; allocating available resources to the second process; switching, by the scalar core, to a second context; executing, by the scalar core, the second process; switching, by the scalar core, to the first context; and resuming, by the scalar core, execution of the first process.
Anmelder
- Firma
- GOOGLE LLC
- Land
- 🇺🇸 USA
US-amerikanisches Unternehmen, das Internetsuche, Onlinewerbung, Softwaredienste sowie Hard- und Software für Mobilgeräte, Cloud und künstliche Intelligenz entwickelt und betreibt.
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