Applying idealized lower-bound runtime models to understand inefficiencies in data-intensive computing

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Authors:	Elie Krevat	Carnegie Mellon University, Pittsburgh, PA, USA
	Tomer Shiran	Carnegie Mellon University, Pittsburgh, PA, USA
	Eric Anderson	HP Labs, Palo Alto, CA, USA
	Joseph Tucek	HP Labs, Palo Alto, CA, USA
	Jay J. Wylie	HP Labs, Palo Alto, CA, USA
	Gregory R. Ganger	Carnegie Mellon University, Pittsburgh, PA, USA

	2011 Article Poster
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	· Proceeding
	SIGMETRICS '11 Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
	Pages 125-126 ACM New York, NY, USA ©2011 table of contents ISBN: 978-1-4503-0814-4 doi>10.1145/1993744.1993788

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