公开(公告)号：US20220391710A1

公开(公告)日：2022-12-08

申请号：US17820593

申请日：2022-08-18

Applicant: Intel Corporation

Inventor： Alessandro Palla ,  Ian Frederick Hunter ,  Richard Richmond ,  Cormac Brick ,  Sebastian Eusebiu Nagy

IPC: G06N3/10 ,  G06N3/08

Abstract: Systems, apparatuses and methods may provide for technology that determines a complexity of a task associated with a neural network workload and generates a hardware efficiency estimate for the task, wherein the hardware efficiency estimate is generated via a neural network based cost model if the complexity exceeds a threshold, and wherein the hardware efficiency estimate is generated via a cost function if the complexity does not exceed the threshold. In one example, the technology trains the neural network based cost model based on one or more of hardware profile data or register-transfer level (RTL) data.