— Large-Scale Scientific Computation
Algorithms and techniques for large-scale scientific computation, including basics for high performance computing, iterative methods, discrete approximation, fast Fourier transform, Poisson solvers, particle methods, spectral graph partition and its applications.
Prerequisites & course information
Course Description: Algorithms and techniques for large-scale scientific computation, including basics for high performance computing, iterative methods, discrete approximation, fast Fourier transform, Poisson solvers, particle methods, spectral graph partition and its applications. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Open to Graduate Students in Computer Science only. Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Open to Graduate Students in Computer Science only. Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027