AI Chat AI Image Generator AI Video Text to Speech

Computing techniques

06/18/2020

∙

by X. Buffat, et al.

∙

∙

This lecture aims at providing a user's perspective on the main concepts used nowadays for the implementation of numerical algorithm on common computing architecture. In particular, the concepts and applications of Central Processing Units (CPUs), vectorisation, multithreading, hyperthreading and Graphical Processing Units (GPUs), as well as computer clusters and grid computing will be discussed. Few examples of source codes illustrating the usage of these technologies are provided.

page 2

page 4

page 6

research

∙ 12/14/2022

Performance Enhancement Strategies for Sparse Matrix-Vector Multiplication (SpMV) and Iterative Linear Solvers

Iterative solutions of sparse linear systems and sparse eigenvalue probl...

0 Thaha Mohammed, et al. ∙

research

∙ 01/27/2014

Computing support for advanced medical data analysis and imaging

We discuss computing issues for data analysis and image reconstruction o...

0 W. Wiślicki, et al. ∙

research

∙ 09/12/2019

PittPack: An Open-Source Poisson's Equation Solver for Extreme-Scale Computing with Accelerators

We present a parallel implementation of a direct solver for the Poisson'...

0 Jaber J. Hasbestan, et al. ∙

research

∙ 10/05/2021

Efficient GPU implementation of randomized SVD and its applications

Matrix decompositions are ubiquitous in machine learning, including appl...

0 Łukasz Struski, et al. ∙

research

∙ 12/20/2016

NOP - A Simple Experimental Processor for Parallel Deployment

The design of a parallel computing system using several thousands or eve...

0 Oskar Schirmer, et al. ∙

research

∙ 12/01/2017

Cosmological Simulations in Exascale Era

The architecture of Exascale computing facilities, which involves millio...

0 D. Goz, et al. ∙

research

∙ 04/18/2022

Unveiling User Behavior on Summit Login Nodes as a User

We observe and analyze usage of the login nodes of the leadership class ...

0 Sean R. Wilkinson, et al. ∙