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Simulation and Visualization on the Grid:...

Simulation and Visualization on the Grid: Parallelldatorcentrum Kungl Tekniska Högskolan Seventh Annual Conference Stockholm, Sweden December 1999 Proceedings

Werner Benger, Hans-Christian Hege, André Merzky, Thomas Radke, Edward Seidel (auth.), Björn Engquist, Lennart Johnsson, Michael Hammill, Faith Short (eds.)
როგორ მოგეწონათ ეს წიგნი?
როგორი ხარისხისაა ეს ფაილი?
ჩატვირთეთ, ხარისხის შესაფასებლად
როგორი ხარისხისაა ჩატვირთული ფაილი?

It is now 30 years since the network for digital communication, the ARPA-net, first came into operation. Since the first experiments with sending electronic mail and performing file transfers, the development of networks has been truly remarkable. Today's Internet continues to develop at an exponential rate that even surpasses that of computing and storage technologies. About five years after being commercialized, it has become as pervasive as the tele­ phone had become 30 years after its initial deployment. In the United States, the size of the Internet industry already exceeds that of the auto industry, which has been in existence for about 100 years. The exponentially increas­ ing capabilities of communication, computing, and storage systems is also reshaping the way science and engineering are pursued. Large-scale simulation studies in chemistry, physics, engineering, and sev­ eral other disciplines may now produce data sets of ,several terabytes or petabytes. Similarly, almost all measurements today produce data in digital form, whether from collections of sensors, three-dimensional digital images, or video. These data sets often represent complex phenomena that require rich visualization capabilities and efficient data-mining techniques to under­ stand. Furthermore, the data may be produced and archived in several differ­ ent locations, and the analysis carried out by teams with members at several locations-possibly distinct from those with significant storage, computation, or visualization facilities. The emerging computational Grids enable the transparent use of remote instruments, computational and data resources.

კატეგორია:
წელი:
2000
გამოცემა:
1
გამომცემლობა:
Springer-Verlag Berlin Heidelberg
ენა:
english
გვერდები:
304
ISBN 10:
3642573134
ISBN 13:
9783642573132
სერია:
Lecture Notes in Computational Science and Engineering 13
ფაილი:
PDF, 16.17 MB
IPFS:
CID , CID Blake2b
english, 2000
ამ წიგნის ჩამოტვირთვა მიუწვდომელია საავტორო უფლებების მფლობელის საჩივრის გამო

Beware of he who would deny you access to information, for in his heart he dreams himself your master

Pravin Lal

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