Titlebook: Applied Parallel Computing. Large Scale Scientific and Industrial Problems; 4th International Wo Bo K?gstr?m,Jack Dongarra,Jerzy Wa?niewski

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書目名稱Applied Parallel Computing. Large Scale Scientific and Industrial Problems影響因子(影響力)




書目名稱Applied Parallel Computing. Large Scale Scientific and Industrial Problems影響因子(影響力)學(xué)科排名




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書目名稱Applied Parallel Computing. Large Scale Scientific and Industrial Problems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Applied Parallel Computing. Large Scale Scientific and Industrial Problems被引頻次




書目名稱Applied Parallel Computing. Large Scale Scientific and Industrial Problems被引頻次學(xué)科排名




書目名稱Applied Parallel Computing. Large Scale Scientific and Industrial Problems年度引用




書目名稱Applied Parallel Computing. Large Scale Scientific and Industrial Problems年度引用學(xué)科排名




書目名稱Applied Parallel Computing. Large Scale Scientific and Industrial Problems讀者反饋




書目名稱Applied Parallel Computing. Large Scale Scientific and Industrial Problems讀者反饋學(xué)科排名

繼承人

Parallelisation of an industrial hydrodynamics application using the PINEAPL library,ackground information and a profiling of the application provides the basis for a parallelisation strategy. A two-stranded approach with both a functional parallelisation of part of the application and the use of library routines is reported. Excellent scalability properties of the two approaches are reported.

blight

LITHE

Bo K?gstr?m,Jack Dongarra,Jerzy Wa?niewskiIncludes supplementary material:

結(jié)果

Control-Group

Suche Nach Homonymen Datenelementen,el benchmarks) that there exists communications locality, and that it is “structured”. We have used this in a number of heuristics that “predict” the target of subsequent communications. This technique, can be applied directly to reconfigurable interconnects (optical or conventional) to hide the com

foppish

DEFER

https://doi.org/10.1007/978-3-663-08468-6 The method is based on a leap frog scheme introduced by Yee in 1966. The first order Mur scheme is used as outer (absorbing) boundary condition. Wave excitation is done with dipoles, i.e. using point sources. All parts of this scheme are local in space. It is therefore suitable to parallelize the c

DAFT

周年紀(jì)念日

https://doi.org/10.1007/978-3-642-49702-5f the deep memory hierarchy which implies that the user has to know exactly how his/her implementation gets executed. With today’s compilers it can be very difficult to understand or predict the execution path without having to look at the machine code. We present a set of tools designed to help us