Improving Energy-Efficiency of Scientific Computing Clusters

Details

Serval ID
serval:BIB_3FE2B0E26467
Type
A part of a book
Collection
Publications
Title
Improving Energy-Efficiency of Scientific Computing Clusters
Title of the book
Industrial Engineering: Concepts, Methodologies, Tools, and Applications
Author(s)
Niemi T., Kommeri J., Hameri A.-P.
Publisher
IGI Global
Address of publication
Hershey, Pennsylvania
ISBN
9781466619456
1466619457
Publication state
Published
Issued date
2013
Chapter
103
Pages
1916-1933
Language
english
Abstract
The authors applied operations management principles on scheduling and allocation to scientific computing clusters to decrease energy consumption and to increase throughput. They challenged the traditional one job per one processor core scheduling method commonly used in scientific computing with parallel processing and bottleneck management. The authors tested the effect of increased parallelism by using different test applications related to high-energy physics computing. The test results showed that at best their methods both decreased energy consumption down to 40% and increased throughput up to 100%, compared to the standard one task per CPU core method. The trade-off is that processing times of individual tasks get longer, but in scientific computing, the overall throughput and energy-efficiency are often more important.
Create date
02/05/2017 15:07
Last modification date
21/08/2019 6:14
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