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» Fast Generation of Accurate Synthetic Microdata
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PSD
2004
Springer
77views Database» more  PSD 2004»
13 years 10 months ago
Fast Generation of Accurate Synthetic Microdata
Generation of a synthetic microdata set that reproduces the statistical properties of an original microdata set is a promising approach to statistical disclosure control (SDC) of m...
Josep Maria Mateo-Sanz, Antoni Martínez-Bal...
IMECS
2007
13 years 6 months ago
A Hybrid Markov Model for Accurate Memory Reference Generation
—Workload characterisation and generation is becoming an increasingly important area as hardware and application complexities continue to advance. In this paper, we introduce a c...
Rahman Hassan, Antony Harris
ICCD
2007
IEEE
139views Hardware» more  ICCD 2007»
14 years 2 months ago
Statistical simulation of chip multiprocessors running multi-program workloads
This paper explores statistical simulation as a fast simulation technique for driving chip multiprocessor (CMP) design space exploration. The idea of statistical simulation is to ...
Davy Genbrugge, Lieven Eeckhout
ICAC
2006
IEEE
13 years 11 months ago
Fast and Effective Worm Fingerprinting via Machine Learning
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
ICCAD
2002
IEEE
143views Hardware» more  ICCAD 2002»
14 years 2 months ago
A Markov chain sequence generator for power macromodeling
In macromodeling-based power estimation, circuit macromodels are created from simulations of synthetic input vector sequences. Fast generation of these sequences with all possible...
Xun Liu, Marios C. Papaefthymiou