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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hoefler, T. Siebert, C. Rehm, W. |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of Comput. Sci., Chemnitz Univ. of Technol. (Hoefler, T.; Siebert, C.; Rehm, W.) |
| Abstract | An efficient implementation of the MPI_BCAST operation is crucial for many parallel scientific applications. The hardware multicast operation seems to be applicable to switch-based infiniband cluster systems. Several approaches have been implemented so far, however there has been no production-ready code available yet. This makes optimal algorithms to a subject of active research. Some problems still need to be solved in order to bridge the semantic gap between the unreliable multicast and MPI_BCAST. The biggest of those problems is to ensure the reliable data transmission in a scalable way. Acknowledgement-based methods that scale logarithmically with the number of participating MPI processes exist, but they do not meet the supernormal demand of high-performance computing. We propose a new algorithm that performs the MPI_BCAST operation in a practically constant time, independent of the communicator size. This method is well suited for large communicators and (especially) small messages due to its good scaling and its ability to prevent parallel process skew. We implemented our algorithm as a collective component for the Open MPI framework using native infiniband multicast and we show its scalability on a cluster with 116 compute nodes, where it saves up to 41% MPI_BCAST latency in comparison to the "TUNED" OpenMPl collective. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 191745 |
| Page Count | 8 |
| File Format | |
| ISBN | 1424409098 |
| DOI | 10.1109/IPDPS.2007.370475 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-03-26 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Broadcasting Clustering algorithms Multicast algorithms Large-scale systems Hardware Broadcast technology Computer science Open systems Laboratories Chemical technology |
| Content Type | Text |
| Resource Type | Article |
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