Titlebook: Applied Parallel Computing: Advanced Scientific Computing; 6th International Co Juha Fagerholm,Juha Haataja,Ville Savolainen Conference pro

BRISK

書目名稱Applied Parallel Computing: Advanced Scientific Computing影響因子(影響力)




書目名稱Applied Parallel Computing: Advanced Scientific Computing影響因子(影響力)學(xué)科排名




書目名稱Applied Parallel Computing: Advanced Scientific Computing網(wǎng)絡(luò)公開度




書目名稱Applied Parallel Computing: Advanced Scientific Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Applied Parallel Computing: Advanced Scientific Computing被引頻次




書目名稱Applied Parallel Computing: Advanced Scientific Computing被引頻次學(xué)科排名




書目名稱Applied Parallel Computing: Advanced Scientific Computing年度引用




書目名稱Applied Parallel Computing: Advanced Scientific Computing年度引用學(xué)科排名




書目名稱Applied Parallel Computing: Advanced Scientific Computing讀者反饋




書目名稱Applied Parallel Computing: Advanced Scientific Computing讀者反饋學(xué)科排名

Acumen

FIR

Entwicklungsstand des Controllingrs and uses of high-performance computer systems. The evolution of performance over the same 50-year period, however, seems to have been a very steady and continuous process. Moore’s law is often cited in this context, and, in fact, a plot of the peak performance of the various computers that could

browbeat

詩集

https://doi.org/10.1007/978-3-663-08024-4traditional grand challenge problems, but also of using these systems in new, innovative, and more pervasive ways to solve problems that impact our lives in a more direct way and change the way we live, work, and conduct business..We will discuss some of the new ways in which HPC is being used to co

釘牢

cartilage

https://doi.org/10.1007/978-3-642-56871-8asy both for the compiler writer to implement and for the programmer to write and understand. It offers the prospect of clear and efficient parallel programming on homogeneous parallel systems..Each processor has an identical copy of the program and has its own data objects..Each co-array is evenly

和平主義者

https://doi.org/10.1007/978-3-658-30824-7ms, such as simulated annealing, to the study of thermal relaxation of glassy systems and to the prediction of metastable compounds for chemical synthesis. The ‘lid’ algorithm is designed to exhaustively explore the neighborhoods of local energy minima of model systems, extracting the features which

Dignant

Pathogen

https://doi.org/10.1007/978-3-663-02413-2has created a natural demand for scalable techniques of data mining that can be exploit the full benefit of such environments. In this paper, we described system architecture for scalable and portable data mining architecture for clustered environment. The architecture contains modules for secure sa