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17 years 2 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
ICPP
2006
IEEE
15 years 10 months ago
Data Transfers between Processes in an SMP System: Performance Study and Application to MPI
— This paper focuses on the transfer of large data in SMP systems. Achieving good performance for intranode communication is critical for developing an efficient communication s...
Darius Buntinas, Guillaume Mercier, William Gropp
ICPPW
2002
IEEE
15 years 9 months ago
SNOW: Software Systems for Process Migration in High-Performance, Heterogeneous Distributed Environments
This paper reports our experiences on the Scalable Network Of Workstation (SNOW) project, which implements a novel methodology to support user-level process migration for traditio...
Kasidit Chanchio, Xian-He Sun
244
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ICDE
2009
IEEE
114views Database» more  ICDE 2009»
16 years 6 months ago
On Efficient Query Processing of Stream Counts on the Cell Processor
In recent years, the sketch-based technique has been presented as an effective method for counting stream items on processors with limited storage and processing capabilities, such...
Dina Thomas, Rajesh Bordawekar, Charu C. Aggarwal,...
EDBT
2002
ACM
141views Database» more  EDBT 2002»
16 years 4 months ago
Efficient OLAP Query Processing in Distributed Data Warehouses
Abstract. The success of Internet applications has led to an explosive growth in the demand for bandwidth from ISPs. Managing an IP network requires collecting and analyzing networ...
Michael O. Akinde, Michael H. Böhlen, Theodor...