Teaching parallel programming to undergrads with hands-on experience
نویسنده
چکیده
This paper describes the didactic concept, the content and the lessons learned of a lecture on parallel programming for undergraduate students held during summer term 2013. The course’s focus was on providing hands-on experience, hence students were programming on real life codes using an actual HPC cluster. The lecture’s aim was to provide an in-depth understanding of each parallel programming paradigm used in industry, starting with OpenMP, MPI and OpenCL as an example of a general approach for accelerators. Additionally, MapReduce based on Apache’s Hadoop was introduced as a new and different way of parallelization. The course’s strong points are highlighted, such as useful practicals on real life codes. Keywords-OpenMP, MPI, OpenCL, MapReduce
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تاریخ انتشار 2013