Program Details for Summer 2010 - June 21 to August 13, 2010
Overview and Mailing List
The REU Site: Interdisciplinary Program in High Performance Computing
is located in the Department of Mathematics and Statistics at UMBC,
in the heart of the Baltimore-Washington corridor of industry and government.
The program is comprised of
learning scientific, parallel, and statistical computing
and of project work on interdisciplinary applications.
All activities of the program are conducted by teams of students,
closely supported by graduate teaching and reseach assistants
as well as the faculty of the program.
We maintain a mailing list for news and updates on the REU Site.
To add yourself to the mailing list as well as
for general information about the program,
please send e-mail to email@example.com
- eight weeks for eight students
- UMBC is located in the Baltimore-Washington corridor of industry and government agencies
- team work with dedicated graduate student mentors and faculty instructors
- professional development workshops
- GRE preparation course
- poster presentation
- technical report and publication opportunities
- no cost to the participants
- Summer 2010: Monday, June 21 to Friday, August 13, 2010;
travel to UMBC and move-in to campus housing on Sunday, June 20, 2010.
See detailed schedule and
below for more information on the program and the activities planned.
- progam benefits:
program stipend $3,600;
UMBC campus housing and food allowance provided;
travel allowance provided;
free GRE preparation workshop and course book;
paid tuition and course book for the
fully transferable three-credit course
Math 447 Introduction to Parallel Computing
- eligibility Requirements:
Earned a minimum of 30 college credits with a
GPA of at least 3.0 on a 4.0 scale;
provide documentation of U.S. Citizenship or Permanent Residency;
reside in campus housing at UMBC during the program;
participate in the summer research experience full-time
courses in Calculus (differential and integral), Linear Algebra,
Basic Probability and Statistics, Introduction to Programming
completed successfully by June 2010.
- application deadline for full consideration: Feb 19, 2010
by online application
More Information on the Program and its Detailed Schedule
The detailed schedule
gives an overview of the
topics involved with the program and of the activities planned
during the 8 weeks of this this REU Site program.
The 8 weeks are comprised of a first phase that focuses
on learning scientific, parallel, and statistical computing
and a second phase focused on project work on interdisciplinary applications.
The first phase occupies Weeks 1, 2, and 3 full-time and then
starts the second phase overlapping with the first during Weeks 4 and 5,
before Weeks 6 and 7 are fully dedicated to project work.
Week 8 can be thought of a third phase that is practically fully
dedicated to preparing a technical report and a poster presentation
of the work.
All activities of the program will be conducted in teams of (about) 4 students,
closely supported in all phases by graduate teaching and reseach assistants
as well as by the instructors of the classes.
The structured learning of scientific, parallel, and statistical computing
will consist of classes, each of which is
immediately followed by team work in a computer lab,
during which the teams will work on assignments
with the support of a graduate TA.
The program includes credit for a senior-level three-credit course on
parallel computing that corresponds to the 29 numbered classes in the schedule.
During Weeks 1 through 3, teams will learn about several possible
interdisciplinary projects with clients from application areas outside
of the mathematical sciences. Examples of clients include faculty
from other departments such as mechanical engineering or biology,
researchers from industrial companies such as Northrop-Grumman,
researchers from government agencies or research labs such as the
Environmental Protection Agency,
the National Institutes of Health (NIH), or
the National Institute of Standards and Technology (NIST).
By the end of Week 3, each team will choose a project and propose
a plan of attack.
The project work will start during Weeks 4 and 5,
while the class on high performance computing concludes,
and be the sole focus of Weeks 6 and 7.
The team work on the interdisciplinary projects will be supported
closely by a graduate RA assigned to each team.
Additionally, there will be many formal and informal opportunities
to bounce ideas off of all graduate TAs and RAs as well as the
clients and all faculty involved with the program.
The last week of the program, Week 8,
is dedicated to assembling the results of the project work.
A technical report that will be posted on the preprint server of the
UMBC High Performance Computing Facility will serve as the citable
result of the work as well as the basis for the product delivered
to the client. Additionally, the work will be presented in
poster form at the Summer Undergraduate Research Fest (SURF)
hosted by the College of Natural and Mathematical Sciences (CNMS)
on Wednesday of Week 8.
Throughout the program, there will be plenty of opportunities to
interact with all members of the program both in formal project
updates, informal brainstorming sessions, and more.
We also plan on several field trips to interesting sites,
for instance, a client's organization.
The program also includes additional material presented to help
support the project activities, such as
an overview of LaTeX and other tools for presentations and report writing,
a discussion of academic integrity in scientific work,
and a GRE preparation course.
All material of this program is designed to include an
introduction that assumes very little background in it
but also very advanced material that will make it useful for experienced users.
These broader aspects of the program are designed to make the
project work more effective as well as to provide an excellent
preparation for and impression of graduate studies in
mathematics or statistics.
In total, the program of this REU Site, as summarized in the
provides a combination of formal introduction to
high performance computing in the mathematical sciences
covering aspects of scientific, statistical, and parallel computing
with team-based work on an interdisciplinary application project.
This combination of aspects will give participants a powerful
and exciting experience how to combine learning with applying
material to project work, all in an atmosphere of mutual support
by all members of the project from undergraduate students,
graduate students, faculty, to clients.