Paper Info
Title
Thread shuffling: combining DVFS and thread migration toreduce energy consumptions for multi-core systems
Abstract
In recent years, multi-core systems have become mainstream in computer industry. The design of multi-cores takes advantage of thread-level parallelism in emerging applications that are computationally intensive and highly parallel. Energy efficiency is one of the biggest challenges in the design of multi-core systems, and workload imbalance among parallel threads is one of sources of energy inefficiency. Many techniques based on dynamic voltage frequency scaling (DVFS) are proposed to save energy consumptions on multi-cores, but all of them assume that each core in a multi-core system contains only one hardware context and only one thread can execute on one core at a time. However, mainstream multi-core systems are moving to have simultaneous multithreading (SMT) support in cores, and existing DVFS-based techniques are not effective to achieve maximum energy savings. In this paper, we present a novel technique called thread shuffling, which combines thread migration and DVFS to achieve maximum energy savings and maintain performance on a multi-core system supporting SMT. Thread shuffling is implemented and simulated in a cycle-accurate ×86 multi-core system. The experiments show that it achieves up to 56% energy savings without performance penalty for selected Recognition, Mining and Synthesis (RMS) applications from Intel Labs.
Year
DOI
Venue
2011
10.1109/ISLPED.2011.5993670
Low Power Electronics and Design
Keywords
DocType
ISSN
mainstream multi-core system,energy inefficiency,maximum energy saving,multi-core system,energy saving,energy consumption,thread shuffling,thread migration toreduce energy,thread migration,parallel thread,energy efficiency,radiation detectors,integrated circuit design,instruction sets,microcomputers,energy efficient,indexing terms,multi threading,thread level parallelism,radiation detector,multicore processing,benchmark testing,multi core,hardware
Conference
Pending E-ISBN : 978-1-61284-659-0
ISBN
Citations 
PageRank 
978-1-61284-659-0
4
0.43
References 
Authors
14
5
Name
Order
Citations
PageRank
Qiong Cai11337.91
José González2623.25
Grigorios Magklis370245.64
Pedro Chaparro424817.27
Antonio González53178229.66