Paper Info
Title
Understanding the impact of task granularity in the energy consumption of parallel programs
Abstract
•Characterization of cut-off performance based on synthetic program benchmarks.•Evaluation of cut-off techniques, based on real-world benchmarks.•Different algorithms are better for execution time and energy efficiency.
Year
DOI
Venue
2018
10.1016/j.suscom.2017.10.014
Sustainable Computing: Informatics and Systems
Keywords
Field
DocType
00-01,99-00
Scheduling (computing),Computer science,Workload,Thread (computing),Granularity,Multi-core processor,Energy consumption,Recursion,Overhead (business),Distributed computing
Journal
Volume
ISSN
Citations 
17
2210-5379
0
PageRank 
References 
Authors
0.34
16
2
Name
Order
Citations
PageRank
Alcides Fonseca1113.61
Bruno Cabral212012.37