| Issue |
E3S Web Conf.
Volume 134, 2019
The First Interregional Conference “Sustainable Development of Eurasian Mining Regions (SDEMR-2019)”
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 6 | |
| Section | Ecological and Industrial Safety of Mining | |
| DOI | https://doi.org/10.1051/e3sconf/201913402003 | |
| Published online | 28 November 2019 | |
Development and debugging of MPI programs on the environmental research computing portal in the mining region
1
Kemerovo State University, 650000 Kemerovo, Russia
2
Kuzbass State Technical State University, 65000 28 Vesennya st., Kemerovo, Russia
3
RMIT University, Melbourne, Australia, 3024
* Corresponding author: vlasenko_a@list.ru
The article is devoted to the development of automated debugging software for parallel programs used in the analysis of the impact of mining on the ecology of the region using the MPI communication interface. The system combines the approaches of static analysis of the source code and automated control of correctness at runtime. Each approach implements a separate component of the system. An innovative idea embedded in the system is to determine the necessary checks in the patterns of erroneous behavior that the user can control by modifying the templates from the proposed set, adding their own or deleting ones that are not required. A system for describing patterns is described and several examples of formalizing errors are given. Some of the examples of errors are suitable for static analysis, while others are suitable for automated verification. The architecture and the general scheme of the automated debugging system on a computing cluster are presented. Another software project described in the article is an engineering computing portal. The portal is an expandable environment for a comprehensive study of the environmental problems of the region, integrating various services united by high-performance computing.
© The Authors, published by EDP Sciences, 2019
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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