Document Type
Video
Publication Date
4-6-2021
Keywords
Linear algebra, math software, commodity processors, memory model, fused multiply-add, vector operations, matrix, matrices
Abstract
In this talk, we will look at the current state of high performance computing and look at the next stage of extreme computing. With extreme computing, there will be fundamental changes in the character of floating point arithmetic and data movement. In this talk, we will look at how extreme-scale computing has caused algorithm and software developers to change their way of thinking on implementing and program-specific applications.
Citation
Dongarra, J. (2021). Lecture 11: The Road to Exascale and Legacy Software for Dense Linear Algebra. Mathematical Sciences Spring Lecture Series. Retrieved from https://scholarworks.uark.edu/mascsls/10
Included in
Algebra Commons, Computer and Systems Architecture Commons, Databases and Information Systems Commons, Data Storage Systems Commons, Digital Communications and Networking Commons, Numerical Analysis and Computation Commons, Numerical Analysis and Scientific Computing Commons, Ordinary Differential Equations and Applied Dynamics Commons, Programming Languages and Compilers Commons
Comments
The captions accompanying these videos were generated automatically by Kaltura software which may not accurately transcribe scientific, medical, and technical terms.