Abstract
As high-performance computing systems become more complex crunching on and generating terabytes or petabytes of data, it becomes more and more important to be able to visualize the results and utilize state-of-the-art tools to develop and optimize applications on modern HPC systems, including large parallel clusters and grids.
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© 2007 Springer-Verlag Berlin Heidelberg
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Elster, A.C., Anshus, O.J. (2007). HPC Environments – Visualization and Parallelization Tools: Minisymposium Abstract. In: Kågström, B., Elmroth, E., Dongarra, J., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2006. Lecture Notes in Computer Science, vol 4699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75755-9_22
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DOI: https://doi.org/10.1007/978-3-540-75755-9_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75754-2
Online ISBN: 978-3-540-75755-9
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