Theory and practice of parallel computing. Analytical models of parallelism and
performance evaluation. Parallel architectures. Software tools for parallel programming.
Design and implementation methodologies for parallel high performance applications.
Design, analysis, and implementation of parallel solutions for various scientific
problems such as linear algebraic problems, fast Fourier transform, Monte Carlo
techniques, boundary value problems, finite element techniques, and iterative systems.
Project(s).​