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Performance Benchmarking of Weather Forecasting Models on Superclusters

This research report by Dr. Daniel B. Weber explores the performance benchmarks of weather forecasting models executed on various superclusters. Key findings include a 20% increase in compute time for Intel-based systems due to bus competition and challenges with file system performance. The Alpha EV-67 system demonstrated significantly greater computational speed—5 times faster than Intel PIII/733—with potential for rapid data transfer rates, despite occasional slowdowns. The study highlights the importance of optimizing file system configurations to enhance performance in high-capacity computing environments.

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Performance Benchmarking of Weather Forecasting Models on Superclusters

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  1. Benchmarks of a Weather Forecasting Research Model on Superclusters Daniel B. Weber, Ph.D. Research Scientist CAPS/University of Oklahoma February 14, 2001

  2. LL=UNM/Los Lobos 512 PIII/733 IBM RR=UNM/Road Runner 128 PII/450 AltaCluster NT=NCSA 128 PIII/550 NT Cluster TCS=Terascale Computing System/PSC 256 Alpha EV-67

  3. INTEL Benchmark Summary • 20% increase in compute time for 2proc/node configuration on Intel Based systems due to bus competition • File system very slow on Intel based systems without fiber channel • File system is a weak link (UNM-LL) • 5.5mb/sec sustained for 480 2proc/node tests writing 2.1mb files from 8 separate processors simultaneously • passing through linux file server not r6000

  4. ALPHA Benchmark Summary • Alpha EV-67 (TCS) is 5 times faster computationally than the INTEL PIII/733 • Alpha (TCS) file system is very slow at times, need to look at the configuration, shows potential for very fast transfer rates • MPI overhead for a 256 processor TCS job is on the order of 15%, very good network performance.

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