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Since the 1980s, however, the conceptualization and systematic application of benchmarking has accelerated this process using ideas from the management of private businesses.
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The results concerning the application of this benchmark on these languages are presented and analysed.
A typical application of this benchmark is presented in terms of non-linear control of the rotational dynamics.
We are largely interested in broad characterisation – and, ideally, in the ready-repeatability of the application of such benchmarks to other Cloud systems.
The advantage of the proposed method is demonstrated by five numerical examples, among them one example was supported by real-life application of the benchmark problem that is associated with reasonable issues in the sense of an extended dissipativity performance.
Finally, numerical examples are given to illustrate the effectiveness and reduced conservatism of the proposed results over the existing ones, among them one example was supported by real-life application of the benchmark problem.
An empirical approach is proposed to determine the performance characteristics of component-based applications by benchmarking and profiling.
The resulting platform-agnostic, single source application is benchmarked on a number of different architectures, and is shown to be 1.3 1.5× slower than native FORTRAN 77 or CUDA implementations on a single node and 1.3 3.1× slower on multiple nodes.
As such, direct application of this CLA benchmark based on the LPATE to the Japanese context was determined to be potentially inappropriate and likely insufficient.
This is the first application of RDE to benchmark challenging data, which is the major innovation of this work.
A caveat in the application of the mathematical benchmarks, effect size and NNT, is the influence of trial design, outcome measures and patient population on the apparent magnitude of response to a given treatment.
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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