In the last few years a new paradigm has emerged in science: extensively use of simulation techniques and software modeling, running on a distributed high performance computing electronic infrastructure. This paradigm is referred to as electronic Science or e-Science. Besides computer simulation, it uses huge amounts of distributed and shared data captured by instruments or sensors and/or stored in databases, analyzed to provide new results for science. This distributed HPC and data ecosystem enables the sharing of acquired knowledge, remote access to resources and above of all a world-wide scientific collaboration. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Gagliardi, F. (2008). HPC opportunities and challenges in e-Science. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5101 LNCS, pp. 18–19). https://doi.org/10.1007/978-3-540-69384-0_5
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