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» Automatic Optimization for MapReduce Programs

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DATE
2010
IEEE

134views Hardware» more DATE 2010»

Combining optimizations in automated low power design

13 years 4 months ago

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—Starting from sequential programs, we present an approach combining data reuse, multi-level MapReduce, and pipelining to automatically ﬁnd the most power-efﬁcient designs th...

Qiang Liu, Tim Todman, Wayne Luk

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INFOCOM
2011
IEEE

301views Communications» more INFOCOM 2011»

Scheduling in mapreduce-like systems for fast completion time

12 years 10 months ago

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Abstract—Large-scale data processing needs of enterprises today are primarily met with distributed and parallel computing in data centers. MapReduce has emerged as an important p...

Hyunseok Chang, Murali S. Kodialam, Ramana Rao Kom...

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SC
2009
ACM

277views Applied Computing» more SC 2009»

Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems

14 years 1 months ago

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MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...

Jianwu Wang, Daniel Crawl, Ilkay Altintas

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PLDI
2000
ACM

91views Programming Languages» more PLDI 2000»

An automatic object inlining optimization and its evaluation

13 years 10 months ago