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» Ordering Unstructured Meshes for Sparse Matrix Computations ...
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IPPS
2000
IEEE
13 years 8 months ago
Ordering Unstructured Meshes for Sparse Matrix Computations on Leading Parallel Systems
Abstract. Computer simulations of realistic applications usually require solving a set of non-linear partial di erential equations PDEs over a nite region. The process of obtaini...
Leonid Oliker, Xiaoye S. Li, Gerd Heber, Rupak Bis...
COMGEO
1999
ACM
13 years 4 months ago
Multiresolution hierarchies on unstructured triangle meshes
The use of polygonal meshes for the representation of highly complex geometric objects has become the de facto standard in most computer graphics applications. Especially triangle...
Leif Kobbelt, Jens Vorsatz, Hans-Peter Seidel
ACIVS
2006
Springer
13 years 10 months ago
Dedicated Hardware for Real-Time Computation of Second-Order Statistical Features for High Resolution Images
We present a novel dedicated hardware system for the extraction of second-order statistical features from high-resolution images. The selected features are based on gray level co-o...
Dimitris G. Bariamis, Dimitrios K. Iakovidis, Dimi...
EUROPAR
2003
Springer
13 years 9 months ago
Improving Performance of Hypermatrix Cholesky Factorization
Abstract. This paper shows how a sparse hypermatrix Cholesky factorization can be improved. This is accomplished by means of efficient codes which operate on very small dense matri...
José R. Herrero, Juan J. Navarro
SC
2009
ACM
13 years 11 months ago
Implementing sparse matrix-vector multiplication on throughput-oriented processors
Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations enc...
Nathan Bell, Michael Garland