YoVDO

The Linear Algebra Mapping Problem and How Programming Languages Solve It

Offered By: NHR@FAU via YouTube

Tags

Linear Algebra Courses Programming Languages Courses Python Courses C++ Courses MATLAB Courses High Performance Computing Courses Matrix Operations Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Computer Graphics
University of California, San Diego via edX
Intro to Parallel Programming
Nvidia via Udacity
Initiation à la programmation (en C++)
École Polytechnique Fédérale de Lausanne via Coursera
C++ For C Programmers, Part A
University of California, Santa Cruz via Coursera
Introduction à la programmation orientée objet (en C++)
École Polytechnique Fédérale de Lausanne via Coursera