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GPUDirect 2.0 is used in our implementation to drive multiple GPUs.
In our implementation, to keep the pace of updating, we define a maximum updating interval (MUI) and a least updating interval (LUI) between two successive update messages.
Porting our implementation to both low power FPGAs and ASIC can be done with minimum effort as the code is written in VHDL.
The time interval selection in Eqs. 3 and 4 required our implementation to visit many nodes in the index tree for Date.
Starting with the q-state Potts model, we extend our implementation to the system of vector spins, the q-state clock model, with the idea of embedded cluster.
The relevance of our procedure is demonstrated by application of our implementation to various examples from the literature, where it significantly improves the quality of the results.
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Concluding, we discuss lessons learned and how we make available our implementations to enable further experimentation by the wireless network research community.
We believe a place of possible improvement in our current implementation to be in our error model, where we treat every read as possessing possible sequencing errors.
Finally, we provide a comparison of our hardware implementation to other state-of-the-art implementations of the core algorithms and the corresponding limitations.
This fact is used by our TDMA implementation to synchronize the transmission intervals, but could also be used for more complex communication.
We used our QNet implementation to find the actual results from the candidate set for each method.
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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