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» The GMAP: A Versatile Tool for Physical Data Independence
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VLDB
1994
ACM
152views Database» more  VLDB 1994»
13 years 9 months ago
The GMAP: A Versatile Tool for Physical Data Independence
Physical data independence is touted as a central feature of modern database systems. Both relational and object-oriented systems, however, force users to frame their queries in t...
Odysseas G. Tsatalos, Marvin H. Solomon, Yannis E....
VLDB
1999
ACM
89views Database» more  VLDB 1999»
13 years 10 months ago
Physical Data Independence, Constraints, and Optimization with Universal Plans
We present an optimization method and algorithm designed for three objectives: physical data independence, semantic optimization, and generalized tableau minimization. The method ...
Alin Deutsch, Lucian Popa, Val Tannen
PROCEDIA
2011
12 years 8 months ago
A Multilevel Parallelism Support for Multi-Physics Coupling
A new challenge in scientific computing is to merge existing simulation models to create new higher fidelity combined (often multi-level) models. While this challenge has been a...
Fang Liu, Masha Sosonkina
CLUSTER
2000
IEEE
13 years 10 months ago
Partition Repositories for Partition Cloning - OS Independent Software Maintenance in Large Clusters of PCs
As a novel approach to software maintenance in large clusters of PCs requiring multiple OS installations we implemented partition cloning and partition repositories as well as a s...
Felix Rauch, Christian Kurmann, Thomas Stricker
BMCBI
2010
171views more  BMCBI 2010»
13 years 5 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...