EASYPAP: A framework for learning parallel programming

Alice Lasserre

doi:10.1016/j.jpdc.2021.07.018

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EASYPAP: A framework for learning parallel programming

2021-12-01

Alice Lasserre

Raymond Namyst *

Pierre‐André Wacrenier

DOI：10.1016/j.jpdc.2021.07.018

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Abstract

En 中文

This paper presents EasyPAP, an easy-to-use programming environment designed to help students to learn parallel programming. EasyPAPfeatures a wide range of 2D computation kernels that the students are invited to parallelize using Pthreads, OpenMP, OpenCL or MPI. Execution of kernels can be interactively visualized, and powerful monitoring tools allow students to observe both the scheduling of computations and the assignment of 2D tiles to threads/processes. By focusing on algorithms and data distribution, students can experiment with diverse code variants and tune multiple parameters, resulting in richer problem exploration and faster progress towards efficient solutions. We present selected lab assignments which illustrate howEasyPAPimproves the way students explore parallel programming. (C) 2021 Elsevier Inc. All rights reserved.

Keywords:

Parallel programming

Visualization

Monitoring

Education

OpenMP

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