Patent · US Active

Virtualizing external memory as local to a machine learning accelerator

US11176493B2 · kind B2 · utility

1Cited by

2References

20Claims

0Family size

Assignee

Google LLC · US

Inventors

Lawrence J. Madar, III · San Francisco, US
Temitayo Fadelu · San Francisco, US
Harshit Khaitan · San Jose, US
Ravi Narayanaswami · San Jose, US

Key dates

Filing date	Apr 29, 2019
Grant date	Nov 16, 2021
Priority date	—
Expiry date	Mar 10, 2040

Classification

Technology area (CPC Y)Emerging Cross-Sectional Technologies
CPC primaryY02D10/00
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for virtualizing external memory as local to a machine learning accelerator. One ambient computing system comprises: an ambient machine learning engine; a low-power CPU; and an SRAM that is shared among at least the ambient machine learning engine and the low-power CPU; wherein the ambient machine learning engine comprises virtual address logic to translate from virtual addresses generated by the ambient machine learning engine to physical addresses within the SRAM.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.