Peachy Parallel Assignments (EduHPC 2021)

Henri Casanova; Rafael Ferreira Da Silva; Arturo Gonzalez-Escribano; Herman Li; Yuri Torres; David P. Bunde

doi:10.1109/EduHPC54835.2021.00012

Peachy Parallel Assignments (EduHPC 2021)

Henri Casanova
, Rafael Ferreira Da Silva
, Arturo Gonzalez-Escribano
, Herman Li
, Yuri Torres
, David P. Bunde

Data Lifecycle Technologies

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

4 Scopus citations

Abstract

Peachy Parallel Assignments are high-quality assignments that are easy for other instructors to adopt and use in their own classes. They are selected competitively for presentation at the Edu∗ workshops based on ease of adoption and how "cool and inspirational"they are for students. The goals are to excite students about PDC, to save faculty the time and risk associated with creating new assignments, and to recognize faculty who create awesome assignments for their students.In this paper, we present two assignments. The first assignment is a simulation of air flow in a wind tunnel, which students parallelize using OpenMP, MPI, and CUDA to illustrate the different techniques needed for these paradigms. The second assignment is a series of exercises to teach students the principles of batch scheduling and how to interact with a batch scheduler to submit parallel jobs. It uses simulation to allow students to quickly see the results of their decisions and to support revisiting an earlier decision.

Original language	English
Title of host publication	Proceedings of EduHPC 2021
Subtitle of host publication	Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	51-57
Number of pages	7
ISBN (Electronic)	9781665411165
DOIs	https://doi.org/10.1109/EduHPC54835.2021.00012
State	Published - 2021
Event	9th IEEE/ACM Workshop on Education for High-Performance Computing, EduHPC 2021 - St. Louis, United States Duration: Nov 14 2021 → …

Publication series

Name	Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis

Conference

Conference	9th IEEE/ACM Workshop on Education for High-Performance Computing, EduHPC 2021
Country/Territory	United States
City	St. Louis
Period	11/14/21 → …

Funding

tially funded by Universidad de Valladolid (Spain), Proyecto Innovación docente PID 20-21 63, Spanish Ministerio de Economía, Industria y Competitividad with the ERDF program of the European Union, project PCAS (TIN2017-88614-R); and Nos Impulsa Junta de Castilla y León - FEDER Grants, projects PROPHET and PROPHET-2 (VA082P17, VA226P20). The batch scheduling assignment is funded by NSF contracts #1923539, #1923621, #2103489, and #2103508.

Keywords

Curriculum Development
GPU
High Performance Computing education
MPI
OpenMP
Parallel computing education
Parallel programming
Parallel simulation
Peachy Parallel Assignments

Access to Document

10.1109/EduHPC54835.2021.00012

Cite this

Casanova, H., Da Silva, R. F., Gonzalez-Escribano, A., Li, H., Torres, Y., & Bunde, D. P. (2021). Peachy Parallel Assignments (EduHPC 2021). In Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis (pp. 51-57). (Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EduHPC54835.2021.00012

Casanova, Henri ; Da Silva, Rafael Ferreira ; Gonzalez-Escribano, Arturo et al. / Peachy Parallel Assignments (EduHPC 2021). Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 51-57 (Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis).

@inproceedings{084bc674dd2b423792268c552bde2845,

title = "Peachy Parallel Assignments (EduHPC 2021)",

abstract = "Peachy Parallel Assignments are high-quality assignments that are easy for other instructors to adopt and use in their own classes. They are selected competitively for presentation at the Edu∗ workshops based on ease of adoption and how {"}cool and inspirational{"}they are for students. The goals are to excite students about PDC, to save faculty the time and risk associated with creating new assignments, and to recognize faculty who create awesome assignments for their students.In this paper, we present two assignments. The first assignment is a simulation of air flow in a wind tunnel, which students parallelize using OpenMP, MPI, and CUDA to illustrate the different techniques needed for these paradigms. The second assignment is a series of exercises to teach students the principles of batch scheduling and how to interact with a batch scheduler to submit parallel jobs. It uses simulation to allow students to quickly see the results of their decisions and to support revisiting an earlier decision.",

keywords = "Curriculum Development, GPU, High Performance Computing education, MPI, OpenMP, Parallel computing education, Parallel programming, Parallel simulation, Peachy Parallel Assignments",

author = "Henri Casanova and \{Da Silva\}, \{Rafael Ferreira\} and Arturo Gonzalez-Escribano and Herman Li and Yuri Torres and Bunde, \{David P.\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 9th IEEE/ACM Workshop on Education for High-Performance Computing, EduHPC 2021 ; Conference date: 14-11-2021",

year = "2021",

doi = "10.1109/EduHPC54835.2021.00012",

language = "English",

series = "Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "51--57",

booktitle = "Proceedings of EduHPC 2021",

}

Casanova, H, Da Silva, RF, Gonzalez-Escribano, A, Li, H, Torres, Y & Bunde, DP 2021, Peachy Parallel Assignments (EduHPC 2021). in Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis. Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis, Institute of Electrical and Electronics Engineers Inc., pp. 51-57, 9th IEEE/ACM Workshop on Education for High-Performance Computing, EduHPC 2021, St. Louis, United States, 11/14/21. https://doi.org/10.1109/EduHPC54835.2021.00012

Peachy Parallel Assignments (EduHPC 2021). / Casanova, Henri; Da Silva, Rafael Ferreira; Gonzalez-Escribano, Arturo et al.
Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., 2021. p. 51-57 (Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis).

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

TY - GEN

T1 - Peachy Parallel Assignments (EduHPC 2021)

AU - Casanova, Henri

AU - Da Silva, Rafael Ferreira

AU - Gonzalez-Escribano, Arturo

AU - Li, Herman

AU - Torres, Yuri

AU - Bunde, David P.

PY - 2021

Y1 - 2021

N2 - Peachy Parallel Assignments are high-quality assignments that are easy for other instructors to adopt and use in their own classes. They are selected competitively for presentation at the Edu∗ workshops based on ease of adoption and how "cool and inspirational"they are for students. The goals are to excite students about PDC, to save faculty the time and risk associated with creating new assignments, and to recognize faculty who create awesome assignments for their students.In this paper, we present two assignments. The first assignment is a simulation of air flow in a wind tunnel, which students parallelize using OpenMP, MPI, and CUDA to illustrate the different techniques needed for these paradigms. The second assignment is a series of exercises to teach students the principles of batch scheduling and how to interact with a batch scheduler to submit parallel jobs. It uses simulation to allow students to quickly see the results of their decisions and to support revisiting an earlier decision.

AB - Peachy Parallel Assignments are high-quality assignments that are easy for other instructors to adopt and use in their own classes. They are selected competitively for presentation at the Edu∗ workshops based on ease of adoption and how "cool and inspirational"they are for students. The goals are to excite students about PDC, to save faculty the time and risk associated with creating new assignments, and to recognize faculty who create awesome assignments for their students.In this paper, we present two assignments. The first assignment is a simulation of air flow in a wind tunnel, which students parallelize using OpenMP, MPI, and CUDA to illustrate the different techniques needed for these paradigms. The second assignment is a series of exercises to teach students the principles of batch scheduling and how to interact with a batch scheduler to submit parallel jobs. It uses simulation to allow students to quickly see the results of their decisions and to support revisiting an earlier decision.

KW - Curriculum Development

KW - GPU

KW - High Performance Computing education

KW - MPI

KW - OpenMP

KW - Parallel computing education

KW - Parallel programming

KW - Parallel simulation

KW - Peachy Parallel Assignments

UR - https://www.scopus.com/pages/publications/85124571813

U2 - 10.1109/EduHPC54835.2021.00012

DO - 10.1109/EduHPC54835.2021.00012

M3 - Conference contribution

AN - SCOPUS:85124571813

T3 - Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis

SP - 51

EP - 57

BT - Proceedings of EduHPC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th IEEE/ACM Workshop on Education for High-Performance Computing, EduHPC 2021

Y2 - 14 November 2021

ER -

Casanova H, Da Silva RF, Gonzalez-Escribano A, Li H, Torres Y, Bunde DP. Peachy Parallel Assignments (EduHPC 2021). In Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc. 2021. p. 51-57. (Proceedings of EduHPC 2021: Workshop on Education for High-Performance Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis). doi: 10.1109/EduHPC54835.2021.00012

Peachy Parallel Assignments (EduHPC 2021)

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this