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            COURSES IN SUPERCOMPUTING 
             Spring 1996 / Fall 1996

   CSCI 4676/5676: High-Performance Scientific Computing I 
   CSCI 4686/5686: High-Performance Scientific Computing II

These courses are designed for students whose main interest is in
computer science or in some other field of science or engineering.
Their  principal objective is to introduce you to the use of
high-performance computing systems in science and engineering.

The courses will center around three scientific applications.  We will
study the numerical methods used to solve them and see how the methods
used determine the best choice of vector or parallel architecture.  In
particular, we will use DEC 5000, HP 735, and SGI Indigo workstations,
a Cray Y-MP, a Maspar MP-2, and an Intel iPSC/2 or Paragon to solve 
problems in molecular dynamics, advection, and tomography.  To produce 
and study problem data, we will use numerical computation and scientific 
visualization tools such as Matlab and AVS.  The concepts of programming 
and performance measurement to be learned extend to a wide variety of 
problems.

Students of all engineering and scientific backgrounds are encouraged
to take this course.

Enrollment will be limited to 16 with qualified graduate students
admitted on a space-available basis.

The prerequisite is one semester of numerical computation at the
undergraduate or graduate level (CSCI 3656 Numerical Methods I or its
equivalent).  CSCI 5676 and 5686 do not count toward the distribution 
requirement for the CSCI MS degree.

*********You may not take CSCI 5676 and 5686 for credit 
         if you have taken or are taking CSCI 5551 or 
         CSCI 7111.                                  **************

The class will meet M&W 2-2:50pm and lab will meet T 2-5pm.
It is generally possible to take the course even if you
have a conflict with part of the lab period.


If you have questions about your preparation or other matters
concerning this course please contact the instructor Prof. Elizabeth
Jessup at 492-0211 or by e-mail at jessup@cs.colorado.edu.
Instructor's permission is required for enrollment.