HPC Opportunities and Challenges in e-Science

  • Fabrizio Gagliardi
Conference paper

DOI: 10.1007/978-3-540-69384-0_5

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5101)
Cite this paper as:
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


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.


e-Science Grid computing Cloud elastic computing multi-core architectures 

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Fabrizio Gagliardi
    • 1
  1. 1.Microsoft Research, Technical Computing, EMEA and LATAM Director 

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