High Performance Computing (HPC) plays a vital role in modern statistics, enabling researchers to analyze large datasets, perform complex simulations, and accelerate data-intensive workflows.
Our program supports students in developing both the theoretical understanding and practical skills needed to leverage HPC tools in statistical research. Whether you're working with massive genomic datasets, running computationally demanding Bayesian models, or developing parallel algorithms, HPC resources are essential.
What We Offer:
Access to University HPC Clusters: Students have access to advanced computing infrastructure through university-supported clusters.
Training and Support: Workshops and documentation are available to help students get started with tools such as SLURM, R, Python, MPI, and parallel computing frameworks.
Course Integration: Courses in statistical computing, machine learning, and Bayesian analysis often incorporate HPC applications and projects.
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