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US20230401092A1

Runtime task scheduling using imitation learning for heterogeneous many-core …

University of Texas System

Abstract

Runtime task scheduling using imitation learning (IL) for heterogenous many-core systems is provided. Domain-specific systems-on-chip (DSSoCs) are recognized as a key approach to narrow down the performance and energy-efficiency gap between custom hardware accelerators and programmable processors.

University
University of Texas System
Assignee
Board Of Regents, The University Of Texas System
Inventor
Umit Ogras
Priority date
October 22, 2020
Filing date
October 22, 2021
Publication date
December 14, 2023
Language
en
Metadata fetched
August 29, 2026 00:30