By Jiangang Cai, Shutian Deng, Hua Shan, Li Jiang, Chaoqun Liu (auth.), Wu Zhang, Weiqin Tong, Zhangxin Chen, Roland Glowinski (eds.)
A huge overseas convention on excessive functionality Computing and its - plications was once held in Shanghai, China, August 8–10, 2004. It served as a discussion board to offer present paintings through researchers and software program builders from all over the world in addition to to focus on actions within the excessive functionality computing region. It aimed to collect study scientists, program - oneers,andsoftwaredeveloperstodiscussproblemsandsolutionsandtoid- tify new concerns during this quarter. The convention concerned with the layout and research of excessive functionality computing algorithms, instruments, and systems and their s- enti?c, engineering, scientific, and commercial purposes. It drew approximately one hundred fifty individuals from Canada, China, Germany, India, Iran, Japan, Mexico, S- gapore, South Korea, the uk, and the U.S. of the USA. greater than one hundred seventy papers have been acquired on quite a few topics in glossy excessive functionality computing and its functions, comparable to numerical and software program set of rules layout and research, grid computing develop, adaptive and par- lel set of rules improvement, dispensing debugging instruments, computational grid and community setting layout, computing device simulation and visualization, and computational language learn and their purposes to technology, engineering, and medication. This ebook comprises 90 papers which are consultant in those topics. It serves as an exceptional study reference for graduate s- dents, scientists, and engineers who paintings with excessive functionality computing for difficulties coming up in technological know-how, engineering, and medication. This convention should not have been attainable with out the help of a few corporations and firms and the help of many people.
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Additional info for Current Trends in High Performance Computing and Its Applications: Proceedings of the International Conference on High Performance Computing and Applications, August 8–10, 2004, Shanghai, P.R. China
Objective of this numerical results is to demonstrate how frequency of updating sensor data in the simulations improves the accuracy of the method. , the frequency of updating is 4. In Figure 2 we plot the average of the solutions. Solid line designates the ﬁne scale (true) simulation results, while dotted line represents the results obtained using our methodology with 4 updating. The dashed line represents the simulation results with no updating. As we see from this ﬁgure the simulation with data updating performs better compare to that with no updating.
Ei The smaller this value is the better the model will be. We now present the numerical comparisons with the data set in the previous section, (let us denote it by “Sample”) and also the DNA data set of 3-state sequence from the mouse αA-crystallin gene see for instance , (let us denote it by “DNA”). The length of the sequence of “Sample” is 20 and the length of the sequence of “DNA” is 1307. The results are reported in Table 1 below. All the computations here are done by MATLAB with a PC. Table 1.
The alternative approaches include direct numerical simulation (DNS) and large eddy simulation (LES). There are some reports regarding DNS and LES for near ﬁeld turbulent wake (Mittal et al. 1996 ;Xia et al. 1997 ), but only for 2-D circular cylinder at a Reynolds number of 3900. For high Reynolds number ﬂow, there are some reports from CTR (Wang 1997, 1999, 2001 ) for trailing edge or circular cylinder. The LES for turbulent ﬂow past a juncture of a wing and a ﬂat plate is rarely found in literature.