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» A Model of Computation for MapReduce
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IPPS
2009
IEEE
15 years 8 months ago
CellMR: A framework for supporting mapreduce on asymmetric cell-based clusters
The use of asymmetric multi-core processors with onchip computational accelerators is becoming common in a variety of environments ranging from scientific computing to enterprise...
M. Mustafa Rafique, Benjamin Rose, Ali Raza Butt, ...
129
Voted
PVLDB
2008
83views more  PVLDB 2008»
15 years 29 days ago
Clustera: an integrated computation and data management system
This paper introduces Clustera, an integrated computation and data management system. In contrast to traditional clustermanagement systems that target specific types of workloads,...
David J. DeWitt, Erik Paulson, Eric Robinson, Jeff...
CLUSTER
2009
IEEE
15 years 8 months ago
Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help?
Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...
Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill H...
ISCA
2011
IEEE
269views Hardware» more  ISCA 2011»
14 years 5 months ago
Power management of online data-intensive services
Much of the success of the Internet services model can be attributed to the popularity of a class of workloads that we call Online Data-Intensive (OLDI) services. These workloads ...
David Meisner, Christopher M. Sadler, Luiz Andr&ea...
CORR
2010
Springer
153views Education» more  CORR 2010»
15 years 1 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...