The default driver uses R's 'parallel' as the backend.
driver object for the backend that will be used. This object should extend class 'ddRDriver', and the S4 methods for do_dmapply, do_collect, and get_parts should be defined in the class of the driver object.
additional parameters to pass to the initialization function of the driver.
After successfully registering a new backend with useBackend(), all subsequent dmapply, collect, and parts operations will dispatch on that driver object's class. Note that distributed objects created with a different backend prior to switching will be incompatible with these backend-specific functions of the new driver.
Prasad, S., Fard, A., Gupta, V., Martinez, J., LeFevre, J., Xu, V., Hsu, M., Roy, I. Large scale predictive analytics in Vertica: Fast data transfer, distributed model creation and in-database prediction. _Sigmod 2015_, 1657-1668.
Venkataraman, S., Bodzsar, E., Roy, I., AuYoung, A., and Schreiber, R. (2013) Presto: Distributed Machine Learning and Graph Processing with Sparse Matrices. _EuroSys 2013_, 197-210.
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