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TSMC
2010
13 years 2 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
VLSISP
2008
100views more  VLSISP 2008»
13 years 7 months ago
Memory-constrained Block Processing for DSP Software Optimization
Digital signal processing (DSP) applications involve processing long streams of input data. It is important to take into account this form of processing when implementing embedded ...
Ming-Yung Ko, Chung-Ching Shen, Shuvra S. Bhattach...
PPOPP
2010
ACM
14 years 2 months ago
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...
IPMI
2007
Springer
14 years 8 months ago
Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support
Abstract. Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentat...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
EUROPAR
2001
Springer
14 years 15 hour ago
Performance of High-Accuracy PDE Solvers on a Self-Optimizing NUMA Architecture
High-accuracy PDE solvers use multi-dimensional fast Fourier transforms. The FFTs exhibits a static and structured memory access pattern which results in a large amount of communic...
Sverker Holmgren, Dan Wallin