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This implementation allows the analysis of the RBD as a time dependent analysis using C/C++.
This implementation allows simulating the time-dependent behaviour of rubber components under arbitrary transient loading histories.
This implementation allows to reduce the large data flow (6.55 Gbps) and to propose a transfer on a serial output link (USB 2.0).
This implementation allows the modification of the development platform to cover multiple requirements, such as, ranging errors in the input parameters or including other positioning technologies.
This implementation allows the designer to choose the system components (from pre-designed ones) and to set its parameters in order to build the adequate SCAC configuration for the target application.
This implementation allows the user to set all the parameters described in this paper, to execute the different algorithms described here and in the Text S1 and dynamically view the resulting dysregulated pathways.
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As a side effect, this implementation allowed us to assess the difficulty of deploying our solution in a real WSN, which we found very acceptable.
This implementation allowed more downtime to be allocated to the secure shell (ssh) communication, which turns out to be the least reliable in the system.
Moreover, this new implementation allows for efficient material re-distribution within the design domain such that the objective function is minimised at constant volume.
This GPU implementation allows for large-scale analysis of epistasis at a dramatically lower cost than the standard CPU-based implementations.
This GPU implementation allows to conduct the search for epistatic interactions on datasets with 100s of individuals and 100 000s of SNPs in less than a day.
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