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Auto tuning MPI Collective Operations on Large Scale Parallel Systems

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Figure

Figure 1.Choosing communication algorithms by changing runtimeparameters. In this example, by setting the runtime parameters, A and B, wecan change the communication algorithm for an MPI collective operation.
Figure 2.The achieved performance of available communication algorithms with different message sizes using 1024 processes
Figure 3.The best configuration under different numbers of processes
Figure 4.Diagrams show how the knowledge of microbenchmark profiling can be applied to optimize unseen programs for the Alltoall collective operation.Given the number of processes (y-axis) and the message size (y-axis), we can quickly find the optimal algori

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