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» Automatic Optimization for MapReduce Programs
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DATE
2010
IEEE
134views Hardware» more  DATE 2010»
15 years 27 days ago
Combining optimizations in automated low power design
—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
123
Voted
INFOCOM
2011
IEEE
14 years 6 months ago
Scheduling in mapreduce-like systems for fast completion time
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...
141
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SC
2009
ACM
15 years 9 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
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
76
Voted
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
15 years 6 months ago
Graph structured program evolution with automatically defined nodes
Shinichi Shirakawa, Tomoharu Nagao