DocumentCode
2604707
Title
Parallel Hierarchical Block Wavelet Compression for an optimal compression rate of 3-D BEM problems
Author
Scheiblich, Christian ; Banucu, Remus ; Reinauer, Veronika ; Rucker, Wolfgang M.
Author_Institution
Inst. for Theor. of Electr. Eng., Univ. of Stuttgart, Stuttgart, Germany
fYear
2010
fDate
9-12 May 2010
Firstpage
1
Lastpage
1
Abstract
Today´s low cost hardware developments allow for a parallelization of intensive computation processes over several selectable CPU cores by using Intel´s OpenMP library. But if one applies this feature to a numerical simulation based on a boundary element method (BEM), there is still a huge bottle neck - the shared memory of such a system. So, if a low cost hardware should be effectively used for large BEM problems, a memory compression algorithm that is easily to be scheduled in parallel is of first choice. Within our new idea and development of the Hierarchical Block Wavelet Compression (HWC) which is based on IEEE´s JPEG2000 standard for image compression, this bottle neck will be tackled in pure mathematically manners. Furthermore, its parallelization will be discussed and an optimal compression rate for a 3-D electrostatic BEM problem by a rather simple optimization algorithm will be presented.
Keywords
boundary-elements methods; data compression; optimisation; parallel processing; shared memory systems; 3D BEM problems; 3D electrostatic BEM problem; CPU cores; IEEE JPEG2000 standard; Intel OpenMP library; boundary element method; image compression; intensive computation process parallelization; low cost hardware developments; memory compression algorithm; numerical simulation; optimal compression rate; optimization algorithm; parallel hierarchical block wavelet compression; parallel scheduling; shared memory system; Boundary element methods; Compression algorithms; Concurrent computing; Costs; Hardware; Image coding; Libraries; Neck; Numerical simulation; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location
Chicago, IL
Print_ISBN
978-1-4244-7059-4
Type
conf
DOI
10.1109/CEFC.2010.5481164
Filename
5481164
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