Abstract
Most parallel systems on which MPI is used are now hierarchical, such as systems with SMP nodes. Many papers have shown algorithms that exploit shared memory to optimize collective operations to good effect. But how much of the performance benefit comes from tailoring the algorithm to the hierarchical topology of the system? We describe an implementation of many of the MPI collectives based entirely on message-passing primitives that exploits the two-level hierarchy. Our results show that exploiting shared memory directly usually gives small additional benefit and suggests design approaches for where the benefit is large.
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Zhu, H., Goodell, D., Gropp, W., Thakur, R. (2009). Hierarchical Collectives in MPICH2. In: Ropo, M., Westerholm, J., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2009. Lecture Notes in Computer Science, vol 5759. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03770-2_41
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DOI: https://doi.org/10.1007/978-3-642-03770-2_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03769-6
Online ISBN: 978-3-642-03770-2
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