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125
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PDCN
2004
15 years 4 months ago
K-Means VQ algorithm using a low-cost parallel cluster computing
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
Paulo Sergio Lopes de Souza, Alceu de Souza Britto...
114
Voted
IPPS
2003
IEEE
15 years 8 months ago
Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining tas...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
119
Voted
IEEEPACT
2006
IEEE
15 years 8 months ago
Whole-program optimization of global variable layout
On machines with high-performance processors, the memory system continues to be a performance bottleneck. Compilers insert prefetch operations and reorder data accesses to improve...
Nathaniel McIntosh, Sandya Mannarswamy, Robert Hun...
130
Voted
VLDB
1987
ACM
78views Database» more  VLDB 1987»
15 years 6 months ago
Measured Performance of Time Interval Concurrency Control Techniques
This paper reports on an implementation of Bayer's Time Interval concurrency control method and compares it to the performance of a conventional timestamp method. The impleme...
Jerre D. Noe, David B. Wagner
SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
15 years 7 months ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu