An approach to task-based parallel programming for undergraduate students

Author:

Ayguadé EduardORCID,Jiménez-González Daniel

Funder

Spanish Government

Spanish Ministry of Science and Innovation

Generalitat de Catalunya

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference7 articles.

1. E. Ayguadé, R.M. Badia, D. Jiménez, J.R. Herrero, J. Labarta, V. Subotic, G. Utrera, Tareador: A tool to unveil parallelization strategies at undergraduate level, in: Proceedings of the Workshop on Computer Architecture Education, WCAE ’15, 2015, pp. 1:1–1:8. http://dx.doi.org/10.1145/2795122.2795123.

2. Barcelona Supercomputing Center, BSC Performance Tools [online]. https://www.bsc.es/computer-sciences/performance-tools.

3. Computer Architecture, Fifth Edition: A Quantitative Approach;Hennessy,2011

4. Introduction to Parallel Computing;Kumar,2002

5. Patterns for Parallel Programming;Mattson,2004

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2. Using high-performance computing artifacts as a learning intervention;Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications;2020-09-18

3. Parallel Programming in Computing Undergraduate Courses: a Systematic Mapping of the Literature;IEEE Latin America Transactions;2019-08

4. Cpp-Taskflow: Fast Task-Based Parallel Programming Using Modern C++;2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2019-05

5. Teaching HPC Systems and Parallel Programming with Small-Scale Clusters;2018 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC);2018-11

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