Towards an energy-aware scientific I/O interface

Author:

Kunkel Julian M.,Minartz Timo,Kuhn Michael,Ludwig Thomas

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference18 articles.

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2. Freeh V, Lowenthal D, Pan F, Kappiah N, Springer R, Rountree B, Femal M (2007) Analyzing the energy-time trade-off in high-performance computing applications. IEEE Trans Parallel Distrib Syst 8:1575–1590

3. Freeh VW, Lowenthal DK (2005) Using multiple energy gears in MPI programs on a power-scalable cluster. In: PPoPP ’05: Proceedings of the tenth ACM SIGPLAN symposium on principles and practice of parallel programming. ACM, New York, pp 164–173. doi: 10.1145/1065944.1065967

4. Geimer M, Wolf F, Wylie BJN, Abraham E, Becker D, Mohr B (2010) The Scalasca performance toolset architecture. Concurr Comput 22(6):277–288

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1. Model-based energy-aware data movement optimization in the storage I/O stack;The Journal of Supercomputing;2017-06-14

2. Analyzing the energy consumption of the storage data path;The Journal of Supercomputing;2016-05-24

3. Dynamically Adaptable I/O Semantics for High Performance Computing;Lecture Notes in Computer Science;2015

4. RIOS: efficient I/O in reverse direction;Software: Practice and Experience;2014-01-16

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