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Dec 15, 2025
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DS 7347 - High Performance Computing
Credits: 3
Provides a practical introduction to HPC systems, job scheduling, and parallelization of data analysis and machine learning tasks using tools such as the Rapids framework, Dask, and Horovod. Students learn to effectively manage large datasets with efficient file formats, define reproducible software environments using containers and version control systems, and execute parallelized workflows by simultaneously using multiple HPC compute nodes, CPUs, and GPUs. The course is taught using Unix shell scripting, Python, and C++ where appropriate to demonstrate various aspects of high-performance data analysis and machine learning workflows.
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