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» Scalable Distributed Reasoning Using MapReduce
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IPPS
2009
IEEE
14 years 2 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, ...
SIGIR
2012
ACM
11 years 10 months ago
Parallelizing ListNet training using spark
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
Shilpa Shukla, Matthew Lease, Ambuj Tewari
SC
2009
ACM
14 years 2 months ago
Lessons learned from a year's worth of benchmarks of large data clouds
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
Yunhong Gu, Robert L. Grossman
GPC
2010
Springer
14 years 2 months ago
Distributed Island-Based Query Answering for Expressive Ontologies
Scalability of reasoning systems is one of the main criteria which will determine the success of Semantic Web systems in the future. The focus of recent work is either on (a) expre...
Sebastian Wandelt, Ralf Möller
EDBT
2011
ACM
256views Database» more  EDBT 2011»
12 years 11 months ago
RanKloud: a scalable ranked query processing framework on hadoop
The popularity of batch-oriented cluster architectures like Hadoop is on the rise. These batch-based systems successfully achieve high degrees of scalability by carefully allocati...
K. Selçuk Candan, Parth Nagarkar, Mithila N...