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Introduction to Computational Science

Given by Geoffrey C. Fox at CPS615 Computational Science Class on Spring Semester 2000. Foils prepared 20 February 00

Course Logistics
Course Overview arranged around 3 Exemplar applications with simple and complex versions
Status of High Performance Computing and Computation HPCC nationally
Application Driving Forces
Computational Science and Information Technology
  • Internetics
Technology and Commodity Driving Forces
  • Inevitability of Parallelism in different forms

Table of Contents for Introduction to Computational Science

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1 Introduction to Computational Science
2 Abstract of Computational Science Introduction
3 Basic CPS615 Contact Points
4 Course Organization
5 Books and Registration
6 Material Covered in CPS615- I
7 Structure of CPS615 - II -- More on Principles of Parallel Programming
8 Structure of CPS615 - III
9 Structure of CPS615 - IV
10 Very Useful References
11 Some Comments on Simulation and HPCC
12 More Features of Current HPCC II
13 More Features of Current HPCC III
14 Application Driving Forces
15 Selection of Motivating Applications
16 Units of HPCC
17 Application Motivation I: Earthquakes
18 Application Motivation I: Earthquakes (Contd.)
19 Application Motivation II: Web Search
20 Exemplar III: Database transaction processing
21 Application Motivation IV: Numerical Relativity
22 Application Motivation IV: Numerical Relativity (Contd.)
23 Application Exemplar V: SMOP
24 SMOP: Space Mission Operations Portal
25 Summary of Application Trends
26 Problem Solving Environments I
27 Problem Solving Environments II
28 Problem Solving Environments III
29 Computational Science and Information Technology or Internetics
30 Computational Science and Information Technology (CSIT)?
31 Synergy of Parallel Computing and Web Internetics/CSIT as Unifying Principle
32 Is Computational Science an Academic Discipline?
33 Technology Driving Forces
34 TOP 500 from Dongarra, Meuer, Strohmaier
35 Top 500 Performance versus time 93-99
36 Projected Top 500 Until Year 2009
37 Architecture of Top 500 Computers
38 CPU Chips of the TOP 500
39 The Computing Pyramid
40 Technology Trends -- CPU's
41 General Technology Trends
42 Technology: A Closer Look
43 Clock Frequency Growth Rate
44 Transistor Count Growth Rate
45 Similar Story for Storage
46 Sequential Memory Structure
47 How to use more transistors?
48 Possible Gain from ILP
49 Trends in Parallelism
50 Parallel Computing Rationale
51 Importance of Memory Structure in High Performance Architectures
52 Processor-DRAM Growing Performance Gap (latency)
53 Parallel Computer Memory Structure
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