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ISPASS
2006
IEEE
15 years 3 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
SCESM
2006
ACM
266views Algorithms» more  SCESM 2006»
15 years 3 months ago
A comparative survey of scenario-based to state-based model synthesis approaches
Model Driven Development and Use Case Driven Development methodologies have inspired the proposal of a variety of software engineering approaches that synthesize statebased models...
Hongzhi Liang, Jürgen Dingel, Zinovy Diskin
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
14 years 11 months ago
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Vadeerat Rinsurongkawong, Christoph F. Eick
PARCO
2003
14 years 11 months ago
Cache Memory Behavior of Advanced PDE Solvers
Three different partial differential equation (PDE) solver kernels are analyzed in respect to cache memory performance on a simulated shared memory computer. The kernels implement...
Dan Wallin, Henrik Johansson, Sverker Holmgren
AAAI
1998
14 years 11 months ago
"Squeaky Wheel" Optimization
We describe a general approach to optimization which we term Squeaky Wheel" Optimization SWO. In SWO, a greedy algorithm is used to construct a solution which is then analyze...
David Joslin, David P. Clements