AMATH 583: High-Performance Scientific Computing
SLN 10233, MWF 4:00-4:50, Loew Hall 216 and 206
This class meets together with AMath
Introduction to hardware, software, and programming for large-scale scientific
computing. Overview of multicore, cluster, and supercomputer architectures;
procedure and object oriented languages; parallel computing paradigms and
languages; graphics and visualization of large data sets; validation and
verification; and scientific software development. Prerequisite: either CSE 142
or AMATH 301.
For more details, including an overview of the course and tentative
schedule, see the
These include a draft of Homework 1
Catalyst web page:
Students registered in the class should have access to the
class webpage. On that page you can find the following:
- The Virtual Machine containing required software for downloading
- Webstreaming of lectures
- Additional sites required for homework problems
- Discussion board to get help
Grading: There will be no exams or large-scale projects in this
class. There will be numerous homework assignments aimed at gaining hands on
experience with a variety of computational tools and computer languages.
Languages and software: Homework assignments will require using a
variety of software tools and languages, including: Unix,
Python, Fortran, OpenMP,
MPI, Mercurial, debuggers, and visualization tools. Students are expected
to have programming experience at the level of CSE 142, Applied Math
301, or a similar introductory
programming course. It is not assumed that students
will already be familiar with the languages mentioned above.
The emphasis will be on using open source software that is freely available
for a variety of computing platforms. Instructions and some assistance
will be available for students who wish to download and install software
on their own computers.
As an alternative, a Virtual Machine based on
will be available for download that contains all the required software and
may be easier to install and use than installing each package separately.
Computer accounts on the Applied Mathematics department system will also be
available for those who prefer to use the software on a remote computer
rather than installing on their own computer.