Study of the Algorithms Information Structure as the Basis of a Training Workshop
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-92864-3_31
Reference18 articles.
1. Meyerov, I., Bastrakov, S., Barkalov, K., Sysoyev, A., Gergel, V.: Parallel numerical methods course for future scientists and engineers. Commun. Comput. Inf. Sci. 793, 3–13 (2017). https://doi.org/10.1007/978-3-319-71255-0_1
2. Qasem, A.: Modules for teaching parallel performance concepts. In: . Prasad, S.K., Gupta, A., Rosenberg, A., Sussman, A., Weems, C. (eds.) Topics in Parallel and Distributed Computing. Enhancing the Undergraduate Curriculum: Performance, Concurrency, and Programming on Modern Platforms, pp. 59–78. Springer (2018). https://doi.org/10.1007/978-3-319-93109-8
3. Antonov, A.S., Voevodin, Vl.V., Popova, N.N.: Parallel structure of algorithms and training computational technology specialists. J. Phys. Conf. Ser. 1202 (2019). https://doi.org/10.1088/1742-6596/1202/1/012021
4. Open Encyclopedia of Parallel Algorithmic Features. http://algowiki-project.org
5. Voevodin, V., Antonov, A., Dongarra, J.: AlgoWiki: an open Encyclopedia of parallel algorithmic features. Supercomput Front. Innov. 1(2), 4–18 (2015). https://doi.org/10.14529/jsfi150101
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