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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 8 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 8 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 7 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 9 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 4 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...