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122
Voted
KDD
2004
ACM
118views Data Mining» more  KDD 2004»
16 years 4 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
150
Voted
ICDT
2001
ACM
147views Database» more  ICDT 2001»
15 years 8 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...
109
Voted
DCC
2009
IEEE
16 years 4 months ago
pFPC: A Parallel Compressor for Floating-Point Data
This paper describes and evaluates pFPC, a parallel implementation of the lossless FPC compression algorithm for 64-bit floating-point data. pFPC can trade off compression ratio f...
Martin Burtscher, Paruj Ratanaworabhan
119
Voted
ESOP
2009
Springer
15 years 10 months ago
Automatic Parallelization with Separation Logic
Abstract. We present a separation logic framework which can express properties of memory separation between different points in a program. We describe an algorithm based on this fr...
Mohammad Raza, Cristiano Calcagno, Philippa Gardne...
141
Voted
OTM
2007
Springer
15 years 10 months ago
Parallelizing Tableaux-Based Description Logic Reasoning
Practical scalability of Description Logic (DL) reasoning is an important premise for the adoption of OWL in a real-world setting. Many highly efficient optimizations for the DL ta...
Thorsten Liebig, Felix Müller