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» Google's MapReduce programming model - Revisited
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HPCA
2007
IEEE
14 years 5 months ago
Evaluating MapReduce for Multi-core and Multiprocessor Systems
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by Google for application development on data-centers...
Colby Ranger, Ramanan Raghuraman, Arun Penmetsa, G...
NOMS
2010
IEEE
180views Communications» more  NOMS 2010»
13 years 3 months ago
Performance-driven task co-scheduling for MapReduce environments
—MapReduce is a data-driven programming model proposed by Google in 2004 which is especially well suited for distributed data analytics applications. We consider the management o...
Jorda Polo, David Carrera, Yolanda Becerra, Malgor...
ICPP
2009
IEEE
14 years 3 days ago
Speeding Up Distributed MapReduce Applications Using Hardware Accelerators
—In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system archi...
Yolanda Becerra, Vicenç Beltran, David Carr...
IEEEPACT
2008
IEEE
13 years 12 months ago
Mars: a MapReduce framework on graphics processors
We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by Google for the ease of ...
Bingsheng He, Wenbin Fang, Qiong Luo, Naga K. Govi...
HPDC
2010
IEEE
13 years 6 months ago
Twister: a runtime for iterative MapReduce
MapReduce programming model has simplified the implementation of many data parallel applications. The simplicity of the programming model and the quality of services provided by m...
Jaliya Ekanayake, Hui Li, Bingjing Zhang, Thilina ...