Studying the Structure of Parallel Algorithms as a Key Element of High-Performance Computing Education

Author:

Voevodin Vladimir,Antonov Alexander,Popova Nina

Publisher

Springer International Publishing

Reference23 articles.

1. National Supercomputing Mission. https://www.nsmindia.in/ . Accessed 4 May 2018

2. Secretary of Energy Advisory Board. Report of the Task Force on Next Generation High Performance Computing, U.S. Department of Energy. August 18, 2014. https://www.energy.gov/sites/prod/files/2014/10/f18/SEAB%20HPC%20Task%20Force%20Final%20Report.pdf . Accessed 4 May 2018

3. Ezell, S.J., Atkinson, R.D.: The Vital Importance of High-Performance Computing to U.S. Competitiveness. http://www2.itif.org/2016-high-performance-computing.pdf . Accessed 4 May 2018

4. SIAM Working Group on CSE Education. SIAM: Graduate Education for Computational Science and Engineering (2014). http://www.siam.org/students/resources/report.php . Accessed 4 May 2018

5. Chapman, B., et al.: DOE: assessment of workforce development needs in office of science research disciplines. http://science.energy.gov/~/media/ascr/ascac/pdf/charges/ASCAC_Workforce_Letter_Report.pdf . Accessed 4 May 2018

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1. Modeling the parallelism of empirical models of optimal complexity using a Petri net;Eastern-European Journal of Enterprise Technologies;2019-06-26

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