Supercomputer Applications

A Course in Computational Science

Supercomputer Applications is a half-credit semester course with a suggested AP computer science co-requisite. Students will explore computational science and high performance computing using various scientific visualization techniques. Working in a UNIX environment with full Internet access, students will solve problems using the C++ programming language, and will display graphics using OpenGL commands. Students will experiment with parallel computing on various UNIX systems using PVM as well as a LINUX cluster. Properly documented programs are to be submitted electronically, and students are also expected to present examples of their work with appropriate discussion in a web page format.

Goals:

The student in Supercomputer Applications will

write properly documented, well structured programs emphasizing computer graphics using OpenGL in the language C or C++.
learn fundamentals of the UNIX operating system and use of Internet resources as applied to computational science.
investigate algorithm design considerations related to high performance computing while running programs using PVM (Parallel Virtual Machine) and the LINUX Cluster.
study computationally intensive problem solving techniques while investigating dynamical systems, chaos, fractals, and ray tracing.
develop projects using scientific visualization techniques to help analyze large data sets.
present research projects in a web-based format using HTML, PHP, and various graphics tools.

Mandelbrot Detail

Course Sequencing

Spring Semester 2002
The following notes pertain to the spring 2002 semester course in Supercomputer Applications. Because our class will be involved in a special project with Advanced Network and Services called Imagining the Future, The sequence of topics that we will cover will be slightly different but we will cover the same materials. This website is being redesigned, so therefore exact due dates, unit sequences, and project requirments will be discussed in class and eventually reflected in this web site. Students who will be continuing with advanced topics into the second semester will have different objectives. Those will be appended to the end of each project unit.

Imagining the Future: Projects in the Competition
And the winner is... Glimmersion

Fall Semester 2001
The original web page showing the units from last semester can be found here: Fall 2001

Class Notes and Related Web Pages

Course Content:

A. OpenGL Graphics as Part of the C or C++ Languages

Basic Windowing Operations in a UNIX Environment
2-D Graphing Commands, Plotting in 3-D
Orthographic Projection and Perspective
Wireframe Models and Surfaces
Mouse and Keyboard Routines
Transformation Matrices: PushMatrix, PopMatrix, Rotation, Translation, and Scaling
Animation and Double Buffering
GLUT: Polygon Models, Objects, Surface Normals, and Lighting

B. Investigating Dynamical Systems, Fractals, and Chaos

Simple Chaos:
Iteration, Logistic Equation, Bifurcation, Twist & Flip Paradigm, Lorenz Attractor
Fractals:
Mandelbrot Set, Julia Sets, Newton's Method, and L-Systems

C. Supercomputer Access in a UNIX Environment

Basic UNIX Skills:

Commands, On-line Help (man pages), File Access, Editing, Compiling, UNIX Scripts

Web Page Skills:

Basic HTML, Making a Web Page, PHP and Perl, MySQL and Databases

Graphics Files:

File Formats (PPM, PGM, Targa, Gif, Jpeg), Graphics Manipulation using xv, Dynamic Graphs with GNU Plot, Making an Animated GIF, the Gimp

Network and Internet Skills:

Unix Sockets

Parallel Computing:

Parallel Virtual Machine (PVM), The Linux Cluster, Algorithm Design

D. Introduction to Ray Tracing

Using POV-Ray (Persistence of Vision Ray Tracer)
Ray Tracing and Animation

E. Introduction to Computational Science and Computer Simulation Techniques

Getting Started with Supercomputing, Scientific Visualization Strategies

Trajectory Simulation:

Prototype Development, Model Validation, Graphics Visualization, Supercomputer Assistance

Gypsy Moth Simulation:

Biological Model, Finite State Automaton Techniques

Random Walk:

Discrete Limited Aggregation Model of Crystal Growth

Primary Texts:

Chaos, Fractals, and Dynamics: Computer Experiments in Mathematics, Robert L. Devaney, Addison-Wesley, 1990.

Object-Oriented Programming in C++, Second Edition, Robert Lafore, Waite Group Press, 1995.

OpenGL Programming Guide, Second Edition, Mason Woo, Jackie Neider, and Tom Davis, Addison-Wesley Developers Press, 1997.

Resource Books:

Chaos and Fractals: New Frontiers of Science, Heinz-Otto Peitgen, Harmut Jurgens, and Dietmar Saupe, Springer-Verlag, 1992.

Chaos: Making a New Science, James Gleick, Viking Press, 1987.

Instructor:

Donald W. Hyatt
dhyatt@tjhsst.edu