| Issue |
E3S Web Conf.
Volume 244, 2021
XXII International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT-2020)
|
|
|---|---|---|
| Article Number | 07001 | |
| Number of page(s) | 10 | |
| Section | Energy and Environmental Modelling | |
| DOI | https://doi.org/10.1051/e3sconf/202124407001 | |
| Published online | 19 March 2021 | |
Data structures access model for remote shared memory
1 Admiral Makarov State University of Maritime and Inland Shipping, 5/7, Dvinskaya Street, 198035, Saint-Petersburg, Russia
* Corresponding author: apnyrkow@mail.ru
Recent achievements in high-performance computing significantly narrow the performance gap between single and multi-node computing, and open up opportunities for systems with remote shared memory. The combination of in-memory storage, remote direct memory access and remote calls requires rethinking how data organized, protected and queried in distributed systems. Reviewed models let us implement new interpretations of distributed algorithms allowing us to validate different approaches to avoid race conditions, decrease resource acquisition or synchronization time. In this paper, we describe the data model for mixed memory access with analysis of optimized data structures. We also provide the result of experiments, which contain a performance comparison of data structures, operating with different approaches, evaluate the limitations of these models, and show that the model does not always meet expectations. The purpose of this paper to assist developers in designing data structures that will help to achieve architectural benefits or improve the design of existing distributed system.
© The Authors, published by EDP Sciences, 2021
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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