Subjects include parallel computing, MPI, OpenMP, cluster computing, GPU programming, cloud-based HPC, performance tuning, debugging, and data management.
The Certificate in HPC Environment and Best Practices Course syllabus covers a comprehensive range of topics essential for mastering high-performance computing. It begins with an introduction to parallel computing concepts, delving into parallel programming languages like MPI and OpenMP. Students learn to optimize code and manage computational resources efficiently. The syllabus also explores cluster computing, GPU programming, and cloud-based HPC solutions, enabling students to harness various computing environments. Best practices in performance tuning, debugging, and data management are emphasized throughout. By the end, students are equipped with the skills needed to excel in the HPC field, making them proficient in creating, optimizing, and managing parallel applications for scientific and computational tasks.
S.No. | Subjects |
1 | Scientific Programming Environment |
2 | Introduction to Computer Architectures For HPC |
3 | Parallel Programming |
4 | Introduction to Numerical Analysis |
5 | High Performance Computing Technology and Best Practices |
6 | Effective Communication and Soft Skills |
7 | Project |
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