2014 Energy Efficient Supercomputing Workshop 2014
DOI: 10.1109/e2sc.2014.9
|View full text |Cite
|
Sign up to set email alerts
|

Power Signatures of High-Performance Computing Workloads

Abstract: Workload-aware power management and scheduling techniques have the potential to save energy while minimizing negative impact on performance. The effectiveness of these techniques depends on the stability of a workload's power consumption pattern across different input data, resource allocations (e.g. number of cores), and hardware platforms.In this paper, we show that the power consumption behavior of HPC workloads can be accurately captured by concise signatures built from their power traces. We validate this… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
references
References 33 publications
0
0
0
Order By: Relevance