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

Elie Krevat, Tomer Shiran, Eric Anderson, Joseph Tucek, Jay J. Wylie, Gregory R. Ganger. Applying idealized lower-bound runtime models to understand inefficiencies in data-intensive computing. In Arif Merchant, Kimberly Keeton, Dan Rubenstein, editors, SIGMETRICS 2011, Proceedings of the 2011 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, San Jose, CA, USA, 07-11 June 2011 (Co-located with FCRC 2011). pages 125-126, ACM, 2011. [doi]

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