
arXiv: 1703.10242
A novel approach is presented to teach the parallel and distributed computing concepts of synchronization and remote memory access. The single program multiple data (SPMD) partitioned global address space (PGAS) model presented in this paper uses a procedural programming language appealing to undergraduate students. We propose that the amusing nature of the approach may engender creativity and interest using these concepts later in more sober environments. Specifically, we implement parallel extensions to LOLCODE within a source-to-source compiler sufficient for the development of parallel and distributed algorithms normally implemented using conventional high-performance computing languages and APIs.
7 pages, 2 figures, example code, accepted for publication at the 7th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-17) workshop in conjunction with the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS 17)
FOS: Computer and information sciences, Computer Science - Programming Languages, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Programming Languages (cs.PL)
FOS: Computer and information sciences, Computer Science - Programming Languages, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Programming Languages (cs.PL)
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