MPI detach — Towards automatic asynchronous local completion
When aiming for large-scale parallel computing, waiting time due to network latency, synchronization, and load imbalance are the primary opponents of high parallel efficiency. A common approach to hide latency with computation is the use of non-blocking communication. In the presence of a consistent...
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| Vydáno v: | Parallel computing Ročník 109; s. 102859 |
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| Jazyk: | angličtina |
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Elsevier B.V
01.03.2022
Elsevier |
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| ISSN: | 0167-8191, 1872-7336 |
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| Abstract | When aiming for large-scale parallel computing, waiting time due to network latency, synchronization, and load imbalance are the primary opponents of high parallel efficiency. A common approach to hide latency with computation is the use of non-blocking communication. In the presence of a consistent load imbalance, synchronization cost is just the visible symptom of the load imbalance. Tasking approaches as in OpenMP, TBB, OmpSs, or C++20 coroutines promise to expose a higher degree of concurrency, which can be distributed on available execution units and significantly increase load balance. Available MPI non-blocking functionality does not integrate seamlessly into such tasking parallelization. In this work, we present a slim extension of the MPI interface to allow seamless integration of non-blocking communication with available concepts of asynchronous execution in OpenMP and C++. Using our concept allows to span task dependency graphs for asynchronous execution over the full distributed memory application. We furthermore investigate compile-time analysis necessary to transform an application using blocking MPI communication into an application integrating OpenMP tasks with our proposed MPI interface extension.
•MPI interface extensions to transfer request completion back to the MPI library.•callback-driven notification of asynchronous completion back to the application.•prototype implementation of the interface independent of the MPI implementation.•integration of MPI communication into OpenMP task programming.•compile-time analysis to convert blocking communication into non-blocking. |
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| AbstractList | When aiming for large scale parallel computing, waiting time due to network latency, synchronization, and load imbalance are the primary opponents of high parallel efficiency. A common approach to hide latency with computation is the use of non-blocking communication. In the presence of a consistent load imbalance, synchronization cost is just the visible symptom of the load imbalance. Tasking approaches as in OpenMP, TBB, OmpSs, or C ++20 coroutines promise to expose a higher degree of concurrency, which can be distributed on available execution units and significantly increase load balance. Available MPI non-blocking functionality does not integrate seamlessly into such tasking parallelization. In this work, we present a slim extension of the MPI interface to allow seamless integration of non-blocking communication with available concepts of asynchronous execution in OpenMP and C ++. We furthermore investigate compile-time analysis necessary to transform an application using blocking MPI communication into an application integrating OpenMP tasks with our proposed MPI interface extension. When aiming for large-scale parallel computing, waiting time due to network latency, synchronization, and load imbalance are the primary opponents of high parallel efficiency. A common approach to hide latency with computation is the use of non-blocking communication. In the presence of a consistent load imbalance, synchronization cost is just the visible symptom of the load imbalance. Tasking approaches as in OpenMP, TBB, OmpSs, or C++20 coroutines promise to expose a higher degree of concurrency, which can be distributed on available execution units and significantly increase load balance. Available MPI non-blocking functionality does not integrate seamlessly into such tasking parallelization. In this work, we present a slim extension of the MPI interface to allow seamless integration of non-blocking communication with available concepts of asynchronous execution in OpenMP and C++. Using our concept allows to span task dependency graphs for asynchronous execution over the full distributed memory application. We furthermore investigate compile-time analysis necessary to transform an application using blocking MPI communication into an application integrating OpenMP tasks with our proposed MPI interface extension. •MPI interface extensions to transfer request completion back to the MPI library.•callback-driven notification of asynchronous completion back to the application.•prototype implementation of the interface independent of the MPI implementation.•integration of MPI communication into OpenMP task programming.•compile-time analysis to convert blocking communication into non-blocking. |
| ArticleNumber | 102859 |
| Author | Protze, Joachim Müller, Matthias S. Barthou, Denis Hermanns, Marc-André Carribault, Patrick Saillard, Emmanuelle Nguyen, Van Man Jaeger, Julien |
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| Cites_doi | 10.1177/1094342014548772 10.1016/j.jpdc.2019.12.005 10.1145/3127024.3127033 |
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| Keywords | Asynchronous communication OpenMP tasking Hybrid parallelism Message Passing Interface Code transformation Static analysis |
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| SubjectTerms | Asynchronous communication Code transformation Computer Science Distributed, Parallel, and Cluster Computing Hybrid parallelism Message Passing Interface OpenMP tasking Static analysis |
| Title | MPI detach — Towards automatic asynchronous local completion |
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