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| Content Provider | ACM Digital Library |
|---|---|
| Author | Parsons, Benjamin S. Pai, Vijay S. |
| Abstract | This work improves the performance of MPI collective communication operations in the presence of imbalanced process arrival times. High performance collective communications are crucial for the performance and scalability of applications, and imbalanced process arrival times are common in these applications. A micro-benchmark is used to investigate the nature of process imbalance with perfectly balanced workloads, and understand the nature of inter- versus intra-node imbalance. These insights are then used to develop imbalance-tolerant reduction, broadcast, and all-to-all algorithms, which minimize the synchronization delay observed by early arriving processes. These algorithms have been implemented and tested on a Cray XE6 using up to 32k cores with varying buffer sizes and levels of imbalance. Results show speedups over MPICH averaging 18.9x for reduce, 5.3x for broadcast, and 6.9x for all-to-all in the presence of high, but not unreasonable, imbalance. |
| Starting Page | 57 |
| Ending Page | 66 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450335591 |
| DOI | 10.1145/2751205.2751242 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-06-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Process imbalance Collective communication Mpi Hpc |
| Content Type | Text |
| Resource Type | Article |
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