Issue |
E3S Web Conf.
Volume 548, 2024
X International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-X 2024)
|
|
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Article Number | 03007 | |
Number of page(s) | 14 | |
Section | Information Technologies, Automation Engineering and Digitization of Agriculture | |
DOI | https://doi.org/10.1051/e3sconf/202454803007 | |
Published online | 12 July 2024 |
Decentralized lock-free distributed queue in MPI remote memory access model
Department of Computer Science and Engineering, Saint Petersburg Electrotechnical University “LETI”, ul. Professora Popova 5, Saint Petersburg 197022, Russia
* Corresponding author: apaznikov@gmail.com
In parallel programming for distributed-memory systems in MPI standard, remote memory access model (also known as one-sided communications, MPI RMA or RMA) is used along with the messagepassing. This model in many cases leverages the performance and simplifies parallel programming. Here arises the problem of synchronization of multiple parallel processes accessing shared (concurrent, distributed) data structures. In shared-memory machines (such as SMP/NUMA systems), non-blocking (lock-free, wait-free, obstruction-free) synchronization is widely used to solve the similar problem. The main advantage of nonblocking synchronization is that delays in execution of one process (thread) do not suspend execution of other threads. This avoids deadlocks, priority inversions, etc. We suppose this approach could also be effective in designing distributed data structures (in the MPI RMA model particularly). In this article, we discuss the idea of building non-blocking distributed data structures in MPI RMA model on the example of a queue, describe the designed algorithms of basic operations, investigates the efficiency of data structures, and provides an experimental comparison with lock-based counterparts.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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