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Introduction to Computational Science

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

001 Introduction to Computational Science
002 Abstract of Computational Science Introduction
003 Basic CPS615 Contact Points
004 Course Organization
005 Books and Registration
006 Material Covered in CPS615- I
007 Structure of CPS615 - II -- More on Principles of Parallel 
    Programming
008 Structure of CPS615 - III
009 Structure of CPS615 - IV
010 Very Useful References
011 Some Comments on Simulation and HPCC
012 More Features of Current HPCC II
013 More Features of Current HPCC III
014 Application Driving Forces
015 Selection of Motivating Applications
016 Units of HPCC
017 Application Motivation I: Earthquakes
018 Application Motivation I: Earthquakes (Contd.)
019 Application Motivation II: Web Search
020 Exemplar III: Database transaction processing
021 Application Motivation IV: Numerical Relativity
022 Application Motivation IV: Numerical Relativity (Contd.)
023 Application Exemplar V: SMOP
024 SMOP: Space Mission Operations Portal
025 Summary of Application Trends
026 Problem Solving Environments I
027 Problem Solving Environments II
028 Problem Solving Environments III
029 Computational Science and Information Technology or Internetics
030 Computational Science and Information Technology (CSIT)?
031 Synergy of Parallel Computing and Web Internetics/CSIT as Unifying
     Principle
032 Is Computational Science an Academic Discipline?
033 Technology Driving Forces
034 TOP 500 from Dongarra, Meuer, Strohmaier
035 Top 500 Performance versus time 93-99
036 Projected Top 500 Until Year 2009
037 Architecture of Top 500 Computers
038 CPU Chips of the TOP 500
039 The Computing Pyramid
040 Technology Trends -- CPU's
041 General Technology Trends
042 Technology: A Closer Look
043 Clock Frequency Growth Rate
044 Transistor Count Growth Rate
045 Similar Story for Storage
046 Sequential Memory Structure
047 How to use more transistors?
048 Possible Gain from ILP
049 Trends in Parallelism
050 Parallel Computing Rationale
051 Importance of Memory Structure in High Performance Architectures
052 Processor-DRAM Growing Performance Gap (latency)
053 Parallel Computer Memory Structure