Title

Activity-Driven Task Allocation in Energy Constrained Heterogeneous Gpus Systems

Published In

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Document Type

Citation

Publication Date

11-29-2020

Abstract

As computing systems continue to increase in complexity, energy optimization plays a key role in the design and implementation of heterogeneous systems. Although the energy consumed by off-chip memory accounts for a large proportion of the total power consumed by the system as a whole, current research on energy optimization mainly focuses on optimizing the energy consumed by the processors. This paper explores the coordinated optimization of the holistic performance of the processors and memory system for heterogeneous systems with energy constraints. A communication-computing pipeline model for parallel executions is characterized to optimize program performance by simultaneously scaling the voltage and frequency of the processors and memory using task allocation strategies. A synergistic load-balancing optimization approach is presented to resolve the load imbalance among graphics processing units. Our experimental results substantiate the effectiveness of the approach in terms of execution times and throughputs with the energy constraints.

Rights

© Copyright 2020 IEEE

DOI

10.1109/TCAD.2020.3040254

Persistent Identifier

https://archives.pdx.edu/ds/psu/34469

Publisher

IEEE

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