BibTeX

@inproceedings{TFAPIKBBCF19,
	author	 = {Julian Kunkel and Eugen Betke and Matt Bryson and Philip Carns and Rosemary Francis and Wolfgang Frings and Roland Laifer and Sandra Mendez},
	title	 = {{Tools for Analyzing Parallel I/O}},
	year	 = {2019},
	month	 = {01},
	booktitle	 = {{High Performance Computing: ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers}},
	editor	 = {Rio Yokota and Michele Weiland and John Shalf and Sadaf Alam},
	publisher	 = {Springer},
	series	 = {Lecture Notes in Computer Science},
	number	 = {11203},
	pages	 = {49--70},
	conference	 = {HPC-IODC workshop, ISC HPC},
	organization	 = {ISC Team},
	location	 = {Frankfurt, Germany},
	isbn	 = {978-3-030-02465-9},
	issn	 = {1611-3349},
	doi	 = {https://doi.org/10.1007/978-3-030-02465-9_4},
	abstract	 = {Parallel application I/O performance often does not meet user expectations. Additionally, slight access pattern modifications may lead to significant changes in performance due to complex interactions between hardware and software. These issues call for sophisticated tools to capture, analyze, understand, and tune application I/O. In this paper, we highlight advances in monitoring tools to help address these issues. We also describe best practices, identify issues in measure- ment and analysis, and provide practical approaches to translate parallel I/O analysis into actionable outcomes for users, facility operators, and researchers.},
}