Research Computing

Parallel Computing Workshop
Does your computer have 8 cores?  Do you spend much time waiting for your code to run, while 7 of those cores sit idle?  If so, then this is the workshop for you! 

We will spend three days teaching the basics of MPI and OpenMP, the two most common tools used to parallelize scientific/numerical codes.  During the workshop, participants will also parallelize several
single-processor codes, providing hands-on experience. By the end of the workshop, you will have the tools you need to parallelize your own code.

During an optional fourth day, you can bring in any code(s) you are working on and start parallelizing them while the instructors are available to answer questions/provide guidance.

This workshop is aimed at those who have had no experience with parallel programming, though some general programming experience is assumed. The sample codes are written in C, so we provide a primer/refresher for those whose C may be rusty.

130 Lewis Library, New Media Center  ·  10:00 a.m.– 4:00 p.m.

Parallel Computing Workshop
Does your computer have 8 cores?  Do you spend much time waiting for your code to run, while 7 of those cores sit idle?  If so, then this is the workshop for you! 

We will spend three days teaching the basics of MPI and OpenMP, the two most common tools used to parallelize scientific/numerical codes.  During the workshop, participants will also parallelize several
single-processor codes, providing hands-on experience. By the end of the workshop, you will have the tools you need to parallelize your own code.

During an optional fourth day, you can bring in any code(s) you are working on and start parallelizing them while the instructors are available to answer questions/provide guidance.

This workshop is aimed at those who have had no experience with parallel programming, though some general programming experience is assumed. The sample codes are written in C, so we provide a primer/refresher for those whose C may be rusty.

130 Lewis Library, New Media Center  ·  10:00 a.m.– 4:00 p.m.

Using ModelBuilder and Python Scripts in ArcGIS
GIS users often want to run a process multiple times, changing the inputs, parameters or summaries generated. ArcGIS has many ways to help users automate processes. The exercises show users how to use graphic tools in ModelBuilder, and how to modify Python scripts to perform repetitive tasks and build simple models.

E-Classroom, 225 Lewis Science Library  ·  1:30 p.m.– 3:00 p.m.

Parallel Computing Workshop
Does your computer have 8 cores?  Do you spend much time waiting for your code to run, while 7 of those cores sit idle?  If so, then this is the workshop for you! 

We will spend three days teaching the basics of MPI and OpenMP, the two most common tools used to parallelize scientific/numerical codes.  During the workshop, participants will also parallelize several
single-processor codes, providing hands-on experience. By the end of the workshop, you will have the tools you need to parallelize your own code.

During an optional fourth day, you can bring in any code(s) you are working on and start parallelizing them while the instructors are available to answer questions/provide guidance.

This workshop is aimed at those who have had no experience with parallel programming, though some general programming experience is assumed. The sample codes are written in C, so we provide a primer/refresher for those whose C may be rusty.

130 Lewis Library, New Media Center  ·  10:00 a.m.– 4:00 p.m.

Parallel Computing Workshop
Does your computer have 8 cores?  Do you spend much time waiting for your code to run, while 7 of those cores sit idle?  If so, then this is the workshop for you! 

We will spend three days teaching the basics of MPI and OpenMP, the two most common tools used to parallelize scientific/numerical codes.  During the workshop, participants will also parallelize several
single-processor codes, providing hands-on experience. By the end of the workshop, you will have the tools you need to parallelize your own code.

During an optional fourth day, you can bring in any code(s) you are working on and start parallelizing them while the instructors are available to answer questions/provide guidance.

This workshop is aimed at those who have had no experience with parallel programming, though some general programming experience is assumed. The sample codes are written in C, so we provide a primer/refresher for those whose C may be rusty.

130 Lewis Library, New Media Center  ·  10:00 a.m.– 4:00 p.m.

Global Positioning Systems and GIS
Global Positioning System (GPS) receivers collect spatial information for use in GIS and elsewhere. The accuracy, precision and overall capabilities of GPS receivers differ dramatically. The basic concepts of GPS will be introduced, and a variety of GPS receivers will be used to collect locations on campus. The data collected will then be uploaded and displayed in ArcGIS, Google Earth, and other applications.

E-Classroom, 225 Lewis Science Library  ·  1:30 p.m.– 3:00 p.m.