NDLI: Analyzing the energy consumption of the storage data path

Content Provider	Springer Nature Link
Author	Llopis, Pablo Dolz, Manuel F. Blas, Javier Garcia Isaila, Florin Heidari, Mohammad Reza Kuhn, Michael
Copyright Year	2016
Abstract	Data movement is a key aspect of energy consumption in modern computing systems. As computation becomes more energy efficient, the cost of data movement gradually becomes a more relevant issue, especially in high-performance computing systems. The relevance of data movement can be studied at different scales, ranging from microcontrollers and microarchitectures to future Exascale systems. The goal of this work is to analyze the power costs of performing I/O operations and intra-node data movement, focusing on the operating system’s I/O stack. Our approach combines the hardware instrumentation, software instrumentation, and data analysis techniques to gain insights into how different I/O patterns make use of system resources, including electrical power. We synthesize this data-driven process into a methodology and present the results of applying this methodology on sequential read and write patterns. As a result, we identify the key system metrics that contribute to I/O-related power usage and discover how the system makes transitions between different power and performance regimes based on the I/O patterns.
Starting Page	4089
Ending Page	4106
Page Count	18
File Format	PDF
ISSN	09208542
Journal	The Journal of Supercomputing
Volume Number	72
Issue Number	11
e-ISSN	15730484
Language	English
Publisher	Springer US
Publisher Date	2016-05-24
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	HPC I/O operations Power analysis System metrics Statistical analysis Programming Languages, Compilers, Interpreters Processor Architectures Computer Science
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Information Systems Hardware and Architecture Software

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