Basic IMAGE version of Foils prepared February 25 2000

Foil 21 Relation to General Speed Up and Efficiency Analysis

From Parallel Programming for Particle Dynamics Extra Foils Computational Science CPS615 -- Spring 2000 Semester. by Geoffrey C. Fox
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Table of Contents for Parallel Programming for Particle Dynamics Extra Foils


1 Parallel Programming for Particle Dynamics and Systems of Ordinary Differential Equations
2 Abstract of Parallel Programming for Particle Dynamics
3 Relationship of Error to Computational Approach
4 Classes of Physical Simulations
5 Applications reducing to Coupled set of Ordinary Differential Equations
6 Particle Dynamics or Equivalent Problems
7 Classes of Particle Problems
8 Circuit Simulations I
9 Circuit Simulations II
10 Discrete Event Simulations
11 Matrices and Graphs I
12 Matrices and Graphs II
13 Time Discretization
14 Estimate of Local Error in Euler's Method
15 Status of Parallelism in Various N Body Cases
16 Simple Example of Euler's Equation
17 Euler's Method for ODE's
18 What's wrong with Euler's Method?
19 Runge-Kutta Methods: Modified Euler I
20 Runge-Kutta Methods: Modified Euler II
21 Relation to General Speed Up and Efficiency Analysis
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