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Topic 10: Parallel Numerical Algorithms

Description : The goal of this course is to introduce you to parallelization techniques and issues for core numerical algorithms in computational science, including dense and sparse linear algebra computations, numerical solution of ordinary and partial differential equations, signal processing, numerical optimization, and particle simulations. Peer to Peer Computing 8.

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  • Distributed Systems and Algorithms 9. Parallel and Distributed Programming Parallel Numerical Algorithms Multicore and Manycore Programming Theory and Algorithms for Parallel Computation High Performance Network and Communication Structure and Content The module will describe how to solve large-scale numerical problems using multiple compute cores.

    What’s new

    To begin, simple linear algebraic manipulation on data-parallel representations are introduced, leading to the solution of linear system. The algorithms for solving very large, sparse linear systems will be described, using the poisson equation as a case study. As more advanced concepts are introduced, the interplay between mathematical concepts and numerical software that exploits massively parallel systems as efficiently as possible will be discussed.