The Linear Algebra Mapping Problem and How Programming Languages Solve It
Offered By: NHR@FAU via YouTube
Course Description
Overview
Explore the Linear Algebra Mapping Problem (LAMP) and its solutions in programming languages through this seminar talk by Prof. Paolo Bientinesi from Umeå University. Delve into the challenges of utilizing high-performance linear algebra libraries and the complexities of decomposing matrix operations. Examine how languages like Matlab, Python, R, and C++ address LAMP, enhancing user productivity but often falling short in performance optimization. Gain insights into the future of high-performance computing and automatic algorithm generation for matrix and tensor operations.
Syllabus
NHR PerfLab Seminar: The Linear Algebra Mapping Problem and how programming languages solve it
Taught by
NHR@FAU
Related Courses
Scientific ComputingUniversity of Washington via Coursera Dynamical Modeling Methods for Systems Biology
Icahn School of Medicine at Mount Sinai via Coursera Elements of Structures
Massachusetts Institute of Technology via edX Analyse numérique pour ingénieurs
École Polytechnique Fédérale de Lausanne via Coursera Dynamics
Massachusetts Institute of Technology via edX