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Trends in computing
The challenges of computing in science and technology have grown in several aspects: computing software and infrastructure is mission critical, the requirements in communication, storage, and CPU capacity are often above the currently feasible and affordable level, and the large science projects hav...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2004
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| Acceso en línea: | https://dx.doi.org/10.1109/TNS.2004.835566 http://cds.cern.ch/record/818529 |
| Sumario: | The challenges of computing in science and technology have grown in several aspects: computing software and infrastructure is mission critical, the requirements in communication, storage, and CPU capacity are often above the currently feasible and affordable level, and the large science projects have a lifetime that is much longer than one cycle in hardware and software technology. Cross- disciplinary solutions in physics and detector simulation, data analysis, as well as in software engineering and Grid technology, are presented, with examples of their use in global science projects in the fields of physics, medicine, and space. (22 refs). |
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