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Graph500 represents a data intensive application benchmark.
Table 6 Application benchmark performance on different Java systems.
The contribution of fins to the total heat transfer rate has been predicted theoretically, and application benchmark test cases have been presented to analyze five different heat exchanger configurations in accordance with the 2014 formula one technical regulations.
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We selected two application benchmarks applicable to real quantum chemistry and Computational Fluid Dynamics (CFD) problems as they can potentially take advantage of parallel processing on novel hardware architectures and built-in new features.
Netrace is used in the simulation to evaluate the network performance under realistic scientific application benchmarks.
Cycle-accurate simulations are carried out on both synthetic traffic patterns as well as real application benchmarks.
Timing results from different application benchmarks are used to compute the Sustained System Performance (SSP) metric to measure the performance delivered by the workload of a computing system.
To validate our noise model, different DSP application benchmarks have been tested and the adequacy between our model and real noises has been measured.
Experiments on real and synthetic application benchmarks demonstrate an average error ratio less than 7% which tends to be even smaller when problem scales up.
Using the model, we estimated the best- and the worst-case latencies for traffic patterns taken from several parallel application benchmarks.
We also designed and coded a set of application benchmarks representative of requirements of future HPC and Embedded Systems, including: 4- a set of dynamic multimedia applications and 5- a large scale simulator of neural activity and synaptic plasticity.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com