Patent · US Active

Building a unified machine learning (ML)/ artificial intelligence (AI) acceleration framework across heterogeneous AI accelerators

US12175223B2 · kind B2 · utility

0Cited by

0References

20Claims

0Family size

Assignee

VMware LLC · US

Inventors

Tiejun Chen · Beijing, CN
Gavin Lu · Beijing, CN
Yongtao Huang · Lo Wu, CN
Zitong Xu · Shanghai, CN

Key dates

Filing date	Feb 18, 2022
Grant date	Dec 24, 2024
Priority date	—
Expiry date	Feb 18, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06F2209/509
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Disclosed is a system for converting a high-level runtime model to a low-level runtime model where the high-level runtime model runs on a client computer system, and the low-level runtime model runs on a server computer system. The server system has installed thereon a pool of hardware accelerators, and the low-level runtime model is targeted to the pool of accelerators. Outputs of the low-level runtime model are returned to the high-level runtime model as if the high-level runtime model computed the outputs.

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