Abstract
Nowadays, in the different areas of knowledge, there is an increase in the amount of information needed to process, reason why many solutions have been generated for the implementation of high-performance computing, these available solutions depend on many factors, from the use of available different architectures. This research work presents a method for the configuration of a low-cost solution for the implementation of asolution based on HPC, using the OpenMP and OpenMPI libraries. The processes necessary for the implementation of programs to exploit these two libraries that are used in the application of parallel programming are described. As a result, the study presents the application of the methodology using file compression, which was implemented Huffman's algorithm, the results demonstrate the optimization in parallel work working with OpenMP and OpenMPI libraries, which allows working with all processors available in the different computer architectures that are available. The study indicates the mode of use and application of the methodology described.
| Original language | English |
|---|---|
| Title of host publication | 5th International Conference on Electronics and Sustainable Communication Systems, ICESC 2024 - Proceedings |
| Pages | 1973-1979 |
| Number of pages | 7 |
| ISBN (Electronic) | 9798350379945 |
| DOIs | |
| State | Published - 2024 |
| Externally published | Yes |
| Event | 5th International Conference on Electronics and Sustainable Communication Systems, ICESC 2024 - Coimbatore, India Duration: 7 Aug 2024 → 9 Aug 2024 |
Publication series
| Name | 5th International Conference on Electronics and Sustainable Communication Systems, ICESC 2024 - Proceedings |
|---|
Conference
| Conference | 5th International Conference on Electronics and Sustainable Communication Systems, ICESC 2024 |
|---|---|
| Country/Territory | India |
| City | Coimbatore |
| Period | 7/08/24 → 9/08/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Graphics processing unit
- High performance computing
- image
- Memory
- parallel
- processing
- processor
- program
- video
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