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SIGMOD
2011
ACM
210views Database» more  SIGMOD 2011»
14 years 9 months ago
A platform for scalable one-pass analytics using MapReduce
Today’s one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce is a popular programm...
Boduo Li, Edward Mazur, Yanlei Diao, Andrew McGreg...
HIPEAC
2007
Springer
16 years 21 days ago
A Throughput-Driven Task Creation and Mapping for Network Processors
Abstract. Network processors are programmable devices that can process packets at a high speed. A network processor is typified by multithreading and heterogeneous multiprocessing...
Lixia Liu, Xiao-Feng Li, Michael K. Chen, Roy Dz-C...
SBCCI
2005
ACM
98views VLSI» more  SBCCI 2005»
16 years 3 days ago
Mapping embedded systems onto NoCs: the traffic effect on dynamic energy estimation
This work addresses the problem of application mapping in networks-on-chip (NoCs). It explores the importance of characterizing network traffic to effectively predict NoC energy c...
José Carlos S. Palma, César A. M. Ma...
PRICAI
2004
Springer
15 years 12 months ago
Shape Matching for Robot Mapping
We present a novel geometric model for robot mapping based on shape. Shape similarity measure and matching techniques originating from computer vision are specially redesigned for ...
Diedrich Wolter, Longin Jan Latecki
PVLDB
2010
167views more  PVLDB 2010»
15 years 5 months ago
The Performance of MapReduce: An In-depth Study
MapReduce has been widely used for large-scale data analysis in the Cloud. The system is well recognized for its elastic scalability and fine-grained fault tolerance although its...
Dawei Jiang, Beng Chin Ooi, Lei Shi, Sai Wu