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High Performance Computing usually leverages messaging libraries such as MPI or GASNet in order to exchange data among processes in large-scale clusters. In this paper the authors present a new flow control mechanism that is able to adapt the buffering resources used by a process according to the parallel application communication pattern and the varying activity among communicating peers. The tests carried out in a 64-node 1024-core EXTOLL cluster show that the authors new dynamic flow-control mechanism provides extraordinarily high buffer efficiency along with very low overhead, which is reduced between 8 and 10 times.
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