Peachy Parallel Assignments (EduPar 2022)

H. Martin Bucker; Henri Casanova; Rafael Ferreira Da Silva; Alice Lasserre; Derrick Luyen; Raymond Namyst; Johannes Schoder; Pierre Andre Wacrenier; David P. Bunde

doi:10.1109/IPDPSW55747.2022.00068

Peachy Parallel Assignments (EduPar 2022)

H. Martin Bucker, Henri Casanova, Rafael Ferreira Da Silva, Alice Lasserre, Derrick Luyen, Raymond Namyst, Johannes Schoder, Pierre Andre Wacrenier, David P. Bunde

Data Lifecycle Technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

The presentation of Peachy Parallel Assign-ments in several workshops on parallel and distributed computing education aims to promote the reuse of high-quality assignments, both saving precious faculty time and improving the quality of course assignments. Presented assignments are selected competitively- they must have been successfully used in a real classroom, be easy for other instructors to adopt, and be 'cool and inspirational' to encourage students to spend time on them and talk about them with others. Winning assignments are also archived on the Peachy Parallel Assignments website. In this installment of Peachy Parallel Assignments, we present three new assignments. The first assignment is to simulate an Abelian Sandpile, with grains of sand moving from tall piles to shorter ones. This is a discrete simulation that creates colorful and intricate images. The second assignment is a Big Data problem in which students use the MapReduce paradigm to recreate 'Warming Stripes', a visualization of climate data that highlights climate change. The third assignment introduces climate-oriented optimization by asking students to schedule distributed workflows to minimize their carbon footprint.

Original language	English
Title of host publication	Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	361-368
Number of pages	8
ISBN (Electronic)	9781665497473
DOIs	https://doi.org/10.1109/IPDPSW55747.2022.00068
State	Published - 2022
Event	36th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022 - Virtual, Online, France Duration: May 30 2022 → Jun 3 2022

Publication series

Name	Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022

Conference

Conference	36th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022
Country/Territory	France
City	Virtual, Online
Period	05/30/22 → 06/3/22

Funding

This work is partially funded by NSF contract #1923621. The research used the Ara cluster at Friedrich Schiller University Jena, which is supported by DFG grants INST 275/334–1 FUGG and INST 275/363–1 FUGG, and resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

Keywords

Abelian Sandpile
Big Data
Carbon Foot-print
Curriculum Development
Distributed Workflow Scheduling
High-Performance Computing education
MapReduce
Parallel computing education
Parallel programming
Parallel Simulation
Peachy Parallel Assignments
Warming Stripes

Access to Document

10.1109/IPDPSW55747.2022.00068

Cite this

Bucker, H. M., Casanova, H., Da Silva, R. F., Lasserre, A., Luyen, D., Namyst, R., Schoder, J., Wacrenier, P. A., & Bunde, D. P. (2022). Peachy Parallel Assignments (EduPar 2022). In Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022 (pp. 361-368). (Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPDPSW55747.2022.00068

Bucker, H. Martin ; Casanova, Henri ; Da Silva, Rafael Ferreira et al. / Peachy Parallel Assignments (EduPar 2022). Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 361-368 (Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022).

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abstract = "The presentation of Peachy Parallel Assign-ments in several workshops on parallel and distributed computing education aims to promote the reuse of high-quality assignments, both saving precious faculty time and improving the quality of course assignments. Presented assignments are selected competitively- they must have been successfully used in a real classroom, be easy for other instructors to adopt, and be 'cool and inspirational' to encourage students to spend time on them and talk about them with others. Winning assignments are also archived on the Peachy Parallel Assignments website. In this installment of Peachy Parallel Assignments, we present three new assignments. The first assignment is to simulate an Abelian Sandpile, with grains of sand moving from tall piles to shorter ones. This is a discrete simulation that creates colorful and intricate images. The second assignment is a Big Data problem in which students use the MapReduce paradigm to recreate 'Warming Stripes', a visualization of climate data that highlights climate change. The third assignment introduces climate-oriented optimization by asking students to schedule distributed workflows to minimize their carbon footprint.",

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Bucker, HM, Casanova, H, Da Silva, RF, Lasserre, A, Luyen, D, Namyst, R, Schoder, J, Wacrenier, PA & Bunde, DP 2022, Peachy Parallel Assignments (EduPar 2022). in Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022. Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022, Institute of Electrical and Electronics Engineers Inc., pp. 361-368, 36th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022, Virtual, Online, France, 05/30/22. https://doi.org/10.1109/IPDPSW55747.2022.00068

Peachy Parallel Assignments (EduPar 2022). / Bucker, H. Martin; Casanova, Henri; Da Silva, Rafael Ferreira et al.
Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 361-368 (Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Bucker HM, Casanova H, Da Silva RF, Lasserre A, Luyen D, Namyst R et al. Peachy Parallel Assignments (EduPar 2022). In Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 361-368. (Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022). doi: 10.1109/IPDPSW55747.2022.00068

Peachy Parallel Assignments (EduPar 2022)

Abstract

Publication series

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Funding

Keywords

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