Abstract
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.
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© 2008 Springer-Verlag Berlin Heidelberg
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Gagliardi, F. (2008). HPC Opportunities and Challenges in e-Science. In: Bubak, M., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2008. ICCS 2008. Lecture Notes in Computer Science, vol 5101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69384-0_5
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DOI: https://doi.org/10.1007/978-3-540-69384-0_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69383-3
Online ISBN: 978-3-540-69384-0
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