Full HTML for

Basic foilset Miscellaneous CPS615 Foils

Given by Geoffrey C. Fox at CPS615 Basic Simulation Track for Computational Science on Fall Semester 95. Foils prepared 8 Nov 1995
Outside Index Summary of Material


This starts with a discussion of Parallel Computing using analogies from nature
It uses foils and material from CSEP chapter on Computer Architecture to discuss how and why to build a parallel computer including synchronization memory structure and network issues
SIMD and MIMD Architectures with a brief comparison of workstation networks with closely coupled systems
A look to the future is based on results from Petaflops workshop

Table of Contents for full HTML of Miscellaneous CPS615 Foils

Denote Foils where HTML is sufficient

1 CPS615 -- Base Course for the Simulation Track of Computational Science
Fall Semester 1995 --
Lecture Stream 2

2 Abstract of Lecture Stream 2 of CPS615
3 CPS615 -- Base Course for the Simulation Track of Computational Science
Fall Semester 1995 --
Numerical Analysis for Linear Algebra

4 Abstract of CPS615 Numerical Analysis Presentation
5 CPS615 -- Base Course for the Simulation Track of Computational Science
Fall Semester 1995 --
Finite Element Methods and Conjugate Gradient Methods

6 Abstract of CPS615 Finite Element/Conjugate Gradient Presentation

Outside Index Summary of Material



HTML version of Basic Foils prepared 8 Nov 1995

Foil 1 CPS615 -- Base Course for the Simulation Track of Computational Science
Fall Semester 1995 --
Lecture Stream 2

From New CPS615Master Foils-- 28 August 95 CPS615 Basic Simulation Track for Computational Science -- Fall Semester 95. *
Full HTML Index
Geoffrey Fox
NPAC
Room 3-131 CST
111 College Place
Syracuse NY 13244-4100

HTML version of Basic Foils prepared 8 Nov 1995

Foil 2 Abstract of Lecture Stream 2 of CPS615

From New CPS615Master Foils-- 28 August 95 CPS615 Basic Simulation Track for Computational Science -- Fall Semester 95. *
Full HTML Index
This starts with a discussion of Parallel Computing using analogies from nature
It uses foils and material from CSEP chapter on Computer Architecture to discuss how and why to build a parallel computer including synchronization memory structure and network issues
SIMD and MIMD Architectures with a brief comparison of workstation networks with closely coupled systems
A look to the future is based on results from Petaflops workshop

HTML version of Basic Foils prepared 8 Nov 1995

Foil 3 CPS615 -- Base Course for the Simulation Track of Computational Science
Fall Semester 1995 --
Numerical Analysis for Linear Algebra

From New CPS615Master Foils-- 28 August 95 CPS615 Basic Simulation Track for Computational Science -- Fall Semester 95. *
Full HTML Index
Geoffrey Fox
NPAC
Room 3-131 CST
111 College Place
Syracuse NY 13244-4100

HTML version of Basic Foils prepared 8 Nov 1995

Foil 4 Abstract of CPS615 Numerical Analysis Presentation

From New CPS615Master Foils-- 28 August 95 CPS615 Basic Simulation Track for Computational Science -- Fall Semester 95. *
Full HTML Index
This is designed to augment the Fosdick and Jessup online resource called
A Review of Selected Topics from Numerical Analysis
situated at: http://www.cs.colorado.edu/95-96/courses/materials.hpsc.html
We focus on additional discussion of eigenvectors and eigenvalues which are used in CPS615 in discussing convergence of iterative PDE solvers
Also have small discussion of "functional analysis" with differential operators

HTML version of Basic Foils prepared 8 Nov 1995

Foil 5 CPS615 -- Base Course for the Simulation Track of Computational Science
Fall Semester 1995 --
Finite Element Methods and Conjugate Gradient Methods

From New CPS615Master Foils-- 28 August 95 CPS615 Basic Simulation Track for Computational Science -- Fall Semester 95. *
Full HTML Index
Geoffrey Fox
NPAC
Room 3-131 CST
111 College Place
Syracuse NY 13244-4100

HTML version of Basic Foils prepared 8 Nov 1995

Foil 6 Abstract of CPS615 Finite Element/Conjugate Gradient Presentation

From New CPS615Master Foils-- 28 August 95 CPS615 Basic Simulation Track for Computational Science -- Fall Semester 95. *
Full HTML Index
This derives the finite element method for a simple two dimensional Laplacian with triangular elements
We use this to motivate conjugate gradient as a variant of steepest descent for variational principle underlying FEM
We discuss preconditioning, parallelism and convergence of general conjugate gradient method

© on Tue Oct 7 1997