The curriculum delve into GPU programming and cluster computing. Additionally, students explore real-world HPC applications in fields like science and engineering.
The syllabus for a Certificate in High-Performance Computing (HPC) Application Development typically covers key topics in parallel computing, performance optimization, and HPC software tools. It includes coursework in parallel programming languages (e.g., MPI, OpenMP), HPC architectures, algorithms, and data structures. Students learn about optimizing code for efficiency and parallelism, as well as debugging and profiling HPC applications. The curriculum may also delve into GPU programming and cluster computing. Additionally, students explore real-world HPC applications in fields like science and engineering. Practical projects and hands-on experience are integral to the program, enabling students to develop proficiency in HPC application development.
S.No | Subjects |
1 | OpenMP |
2 | Message Passing Interface |
3 | GPGPU Technology |
4 | Many Integrated Core Programming |
5 | Introduction to HPC tools |
6 | Effective Communication and Soft Skills |
7 | Project |