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Improving the Effectiveness of U.S. Climate Modeling (2001)
Board on Atmospheric Sciences and Climate (BASC)

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. "Color Plates." Improving the Effectiveness of U.S. Climate Modeling. Washington, DC: The National Academies Press, 2001.

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Improving the Effectiveness of U.S. Climate Modeling

PLATE 1 Amdahl’s Law: Impact of the number of processors (axis labeled p) on the parallel efficiency (vertical axis) for a range of code parallelization (axis labeled x), between 90% and the ideal but unattainable 100%. a) Multiprocessing system with a number of processors between 1 and 32. Note that the greenish area, representing practically attainable efficiencies, ranges from over 20% for low parallelization to well over 50% for high parallelization. b) Massively parallel processor, with 40 to 1024 processors. Note that the attainable ranges of efficiency are well below 10% except for the hard-to-reach highest ranges of code parallelization (over 99%).

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Improving the Effectiveness of U.S. Climate Modeling PLATE 1 Amdahl’s Law: Impact of the number of processors (axis labeled p) on the parallel efficiency (vertical axis) for a range of code parallelization (axis labeled x), between 90% and the ideal but unattainable 100%. a) Multiprocessing system with a number of processors between 1 and 32. Note that the greenish area, representing practically attainable efficiencies, ranges from over 20% for low parallelization to well over 50% for high parallelization. b) Massively parallel processor, with 40 to 1024 processors. Note that the attainable ranges of efficiency are well below 10% except for the hard-to-reach highest ranges of code parallelization (over 99%).

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Improving the Effectiveness of U.S. Climate Modeling PLATE 2 a. Terrain over North America on a model grid at 240 km horizontal resolution. b. Terrain over North America on a model grid at 30 km horizontal resolution. (Provided by M. Blackmon)

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