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HPCN
1997
Springer
15 years 1 months ago
Parallel Solution of Irregular, Sparse Matrix Problems Using High Performance Fortran
For regular, sparse, linear systems, like those derived from regular grids, using High Performance Fortran (HPF) for iterative solvers is straightforward. However, for irregular ma...
Eric de Sturler, Damian Loher
VLSISP
2008
100views more  VLSISP 2008»
14 years 9 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...
CISS
2008
IEEE
15 years 4 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
SI3D
1992
ACM
15 years 1 months ago
Volume Seedlings
Recent advances in software and hardware technology have made direct ray-traced volume rendering of 3-d scalar data a feasible and effective method for imaging of the data's ...
Michael F. Cohen, James S. Painter, Mihir Mehta, K...
SI3D
2005
ACM
15 years 3 months ago
Level-of-detail representation of bidirectional texture functions for real-time rendering
This paper presents a new technique for rendering bidirectional texture functions (BTFs) at different levels of detail (LODs). Our method first decomposes each BTF image into mul...
Wan-Chun Ma, Sung-Hsiang Chao, Yu-Ting Tseng, Yung...