Application of Parallel Computing in Digital City

Digital cities are paid more and more attentions on for they are expected to make life, business, travel, city planning and so on more convenient and more effective. Existing digital cities are based on serial computing. However, the speed of the applications of digital city in serial computing is so slow that the applications can not run in real time or run in large scale. Since parallel computing is more powerful and faster than serial computing, parallel computing is used in our study to promote the scale and the speed of the applications of digital city. An experiment on recognizing objects in digital city based on parallel computing is given.

[1]  Carl Kesselman,et al.  Generalized communicators in the Message Passing Interface , 1996, Proceedings. Second MPI Developer's Conference.

[2]  Li Qi,et al.  Research on digital city framework architecture , 2001, 2001 International Conferences on Info-Tech and Info-Net. Proceedings (Cat. No.01EX479).

[3]  Yoko NISHIMURA,et al.  Google Earth , 2008, Encyclopedia of GIS.

[4]  J. Dongarra,et al.  Trends in high performance computing: a historical overview and examination of future developments , 2006, IEEE Circuits and Devices Magazine.

[5]  Ed Anderson,et al.  LAPACK Users' Guide , 1995 .

[6]  Jack Dongarra,et al.  MPI: The Complete Reference , 1996 .

[7]  emontmej,et al.  High Performance Computing , 2003, Lecture Notes in Computer Science.

[8]  Erich Strohmaier,et al.  High-performance computing: clusters, constellations, MPPs, and future directions , 2003, Comput. Sci. Eng..

[9]  Allan Gottlieb,et al.  Highly parallel computing , 1989, Benjamin/Cummings Series in computer science and engineering.

[10]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[11]  A. Gore The digital earth : Understanding our planet in the 21st century , 1998 .