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We provide efficient implementations of common Fast Multipole Method (FMM) tasks for modern multi-core (Intel Xeon Haswell), many-core (Intel Xeon Phi Knights Landing) and Nvidia Pascal GPUs, offering optimization guidelines for each kernel and architecture, and exposing task granularity issues with evaluations on performance and scalability.
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Continuous distributed methods were also applied to calculate the yield of the transesterification reaction, and thus monitor the progress of the common and in-situ transesterification reactions, offering a tool for optimization of reaction parameters.
The simulated results demonstrated the efficiency of the algorithm to find the Pareto optimal set, offering a viable strategy to solve complex dynamic optimization problems.
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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