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» Dominating Distributions and Learnability
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VLDB
2007
ACM
129views Database» more  VLDB 2007»
16 years 4 months ago
Efficient Skyline Computation over Low-Cardinality Domains
Current skyline evaluation techniques follow a common paradigm that eliminates data elements from skyline consideration by finding other elements in the dataset that dominate them...
Michael D. Morse, Jignesh M. Patel, H. V. Jagadish
CLUSTER
2009
IEEE
15 years 11 months ago
Granules: A lightweight, streaming runtime for cloud computing with support, for Map-Reduce
— Cloud computing has gained significant traction in recent years. The Map-Reduce framework is currently the most dominant programming model in cloud computing settings. In this ...
Shrideep Pallickara, Jaliya Ekanayake, Geoffrey Fo...
130
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GLOBECOM
2009
IEEE
15 years 11 months ago
Statistical Modeling of Co-Channel Interference
—With increasing spatial reuse of the radio spectrum, co-channel interference is becoming the dominant noise source and may severely degrade the communication performance of wire...
Kapil Gulati, Aditya Chopra, Brian L. Evans, Keith...
IPPS
2009
IEEE
15 years 11 months ago
Designing multi-leader-based Allgather algorithms for multi-core clusters
The increasing demand for computational cycles is being met by the use of multi-core processors. Having large number of cores per node necessitates multi-core aware designs to ext...
Krishna Chaitanya Kandalla, Hari Subramoni, Gopala...
IPPS
2009
IEEE
15 years 11 months ago
Parallel reconstruction of neighbor-joining trees for large multiple sequence alignments using CUDA
Computing large multiple protein sequence alignments using progressive alignment tools such as ClustalW requires several hours on state-of-the-art workstations. ClustalW uses a th...
Yongchao Liu, Bertil Schmidt, Douglas L. Maskell