Effiziente Maschinenlernbeschleunigung in Allzweckberechnungs-Socs

Details

Veröffentlichungs-Nr.

EP4769230

Anmeldetag

26. Dezember 2025

Veröffentlichung

1. Juli 2026

Rechtsraum

EP

IPC

G06N3/063

Abstract

Generally disclosed herein is an approach for an optimized data computation for machine learning (ML) operations using a plurality of small-sized ML accelerators integrated into a general-purpose compute system-on-chip (SoC). One or more processors of the general-purpose compute SoC may be configured to receive a workload and divide the workload into a plurality of sub-workloads. The plurality of sub-workloads may be distributed among the plurality of small-sized ML accelerators. Each of the plurality of the ML accelerators can be configured to output a partial outcome. The outputs from each ML accelerator can be combined using atomic store operations using a dedicated opcode and a specified memory address.

Anmelder

Firma

Google LLC

Land

🇺🇸 USA

Fachgebiete