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» Factored Planning: How, When, and When Not
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ICDE
2005
IEEE
128views Database» more  ICDE 2005»
16 years 3 months ago
Exploiting Correlated Attributes in Acquisitional Query Processing
Sensor networks and other distributed information systems (such as the Web) must frequently access data that has a high per-attribute acquisition cost, in terms of energy, latency...
Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel ...
EUROPAR
2003
Springer
15 years 7 months ago
Improving Performance of Hypermatrix Cholesky Factorization
Abstract. This paper shows how a sparse hypermatrix Cholesky factorization can be improved. This is accomplished by means of efficient codes which operate on very small dense matri...
José R. Herrero, Juan J. Navarro
IPL
1998
119views more  IPL 1998»
15 years 1 months ago
A 2.5-Factor Approximation Algorithm for the k-MST Problem
The k-MST problem requires finding that subset of at least k vertices of a given graph whose Minimum Spanning Tree has least weight amongst all subsets of at least k vertices. Th...
Sunil Arya, H. Ramesh
ICDE
2005
IEEE
113views Database» more  ICDE 2005»
16 years 3 months ago
On the Optimal Ordering of Maps and Selections under Factorization
The query optimizer of a database system is confronted with two aspects when handling user-defined functions (UDFs) in query predicates: the vast differences in evaluation costs b...
Thomas Neumann, Sven Helmer, Guido Moerkotte
117
Voted
VEE
2006
ACM
116views Virtualization» more  VEE 2006»
15 years 7 months ago
Relative factors in performance analysis of Java virtual machines
Many new Java runtime optimizations report relatively small, single-digit performance improvements. On modern virtual and actual hardware, however, the performance impact of an op...
Dayong Gu, Clark Verbrugge, Etienne M. Gagnon