Energy-Efficient Thread Mapping for Heterogeneous Many-Core Systems via Dynamically Adjusting the Thread Count

Energy-Efficient Thread Mapping for Heterogeneous Many-Core Systems via Dynamically Adjusting the Thread Count

Improving computing performance and reducing energy consumption are a major concern in heterogeneous many-core systems. The thread count directly influences the computing performance and energy consumption for a multithread application running on a heterogeneous many-core system. For this work, we s...

Full description

Bibliographic Details
Main Authors: Tao Ju, Yan Zhang, Xuejun Zhang, Xiaogang Du, Xiaoshe Dong
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Energies
Subjects:
heterogeneous many-core system
heterogeneous computing
optimum thread count
prediction model
performance optimization
energy efficiency
Online Access:https://www.mdpi.com/1996-1073/12/7/1346

Internet

https://www.mdpi.com/1996-1073/12/7/1346

Similar Items