Abstract
Parallelism is i difficult, yet parallel programs are crucial to the high-performance needs of scientific and commercial applications. Success stories are plentiful; when parallelism works, the results are impressive. We see incredible results in such fields are computational fuid ynamics, quantum chromo ynamics, real-time animation, ab initio molecular simulations, climate modeling, macro- economic forecasting, commodity analysis, and customer credit profiling.
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© 2000 Springer-Verlag Berlin Heidelberg
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Miller, B.P., Gerndt, M. (2000). Support Tools and Environments. In: Bode, A., Ludwig, T., Karl, W., Wismüller, R. (eds) Euro-Par 2000 Parallel Processing. Euro-Par 2000. Lecture Notes in Computer Science, vol 1900. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44520-X_6
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DOI: https://doi.org/10.1007/3-540-44520-X_6
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