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Data transfer means transferring data fields from a sender to a receiver. Itis a fundamental and frequently used operation of a coupler. Most versions ofstate-of-the-art couplers currently use an implementation based on the point-to-point (P2P) communication of the message passing interface (MPI)(referred to as “P2P implementation” hereafter). In this paper, we revealthe drawbacks of the P2P implementation when the parallel decompositions ofthe sender and the receiver are different, including low communicationbandwidth due to small message size, variable and high number of MPImessages, as well as network contention. To overcome these drawbacks, wepropose a butterfly implementation for data transfer. Although the butterflyimplementation outperforms the P2P implementation in many cases, it degradesthe performance when the sender and the receiver have similar paralleldecompositions or when the number of processes used for running models issmall. To ensure data transfer with optimal performance, we design andimplement an adaptive data transfer library that combines the advantages ofboth butterfly implementation and P2P implementation. As the adaptive datatransfer library automatically uses the best implementation for datatransfer, it outperforms the P2P implementation in many cases while it doesnot decrease the performance in any cases. Now, the adaptive data transferlibrary is open to the public and has been imported into the C-Coupler1coupler for performance improvement of data transfer. We believe that othercouplers can also benefit from this

A new adaptive data transfer library for model coupling