Hi Everyone,
It turns out that CPS Division does not have project descriptions on the Educational Programs website. We absolutely need these to get summer students to apply to us.
If you have thoughts on these descriptions please send them to Tim and me.
To get some idea of what is needed please take a look at what MCS did in the past (info thanks to Pat).
Best
Salman
PS We'll likely have funding to support a few summer students, so use that as an incentive to write something exciting!
| Subject: | Projects for Student Programs |
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| Date: | Thu, 3 Oct 2019 10:05:17 -0500 |
| From: | Pepper, Pat M. <pepper@mcs.anl.gov> |
| To: | Williams, Timothy J. <zippy@anl.gov>, Habib, Salman <habib@anl.gov> |
| CC: | Pepper, Pat M. <pepper@mcs.anl.gov>, Tezak, Samantha L. <stezak@anl.gov> |
Hi Tim and Salman: Just a reminder that CPS should have project description(s) on educational programs’ website (in the project catalog that students look in) for the upcoming
student season in 2020. Here’s what MCS has done in the past. As you can see, there only needs to be a few sentences. Don’t pay attention to the project number on the side…educational programs assigns them.
Thanks,
Pat
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Petascale computing and the emerging era of exascale computing pose numerous challenges, both from the underlying hardware architectures and from the many layers of software
above it. MCS is exploring new approaches to system software, fault tolerance, and programming models for next-generation computers. The Extreme Computing area is heavily involved in research on operating systems, runtime, storage, programming models, algorithms,
and libraries that will enable scientists to fully exploit advanced computer platforms. We are also building codesign teams - bringing together computer scientists, applied mathematicians and computational scientists to address these challenges. http://www.mcs.anl.gov/group/extreme-computing |
MCS:Mathematics and Computer Science Division |
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Growth in computer power is being dwarfed by a tremendous increase in data. Genome sequencing data alone has increased by more than 105 percent in less than six years. Large-scale
simulations are producing petabytes and even exabytes of data that simply cannot be handled effectively or in a reasonable time by traditional methods. Activities such as Argonne's new Center for Computational Materials combines both large simulation and experimental
data in a community database. Managing this data tsunami is one of the most pressing challenges of our time. In MCS, we are tackling this challenge by developing new techniques and tools for storing, transferring, accessing, visualizing, and analyzing extremely
large datasets. Our aim is to enable researchers to make use of their big data for big science, leading to new discoveries and breakthroughs. http://www.mcs.anl.gov/group/data-intensive-science |
MCS:Mathematics and Computer Science Division |
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Our work in applied mathematics ranges from algorithm design, to development of software tools and technology, to advanced simulations in applications of interest to the U.S.
Department of Energy. MCS is formulating rigorous theory leading to fast algorithms, deployed in portable software on leading-edge computing platforms. We explore three main areas: 1. state-of-the-art techniques that will fully exploit high-performance computing
and will lay the groundwork for new scientific insights, including compiler decision algorithms, automatic differentiation, and performance tuning; 2. new approaches for mathematical modeling and numerical simulations to study complex, multiphysics, multiscale
phenomena that arise in scientific and engineering problems, focusing on PDE and ODE solvers, discretizations, uncertainty quantification, and stochastic approaches; and 3. incorporation of new numerical methods into portable, high-performance software and
testing of that software in large-scale simulations of interest to the scientific community, including the areas of data analysis and optimization. http://www.mcs.anl.gov/group/applied-mathematics |
MCS:Mathematics and Computer Science Division |
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Much of our research in algorithms, libraries, and tools is motivated by challenges in science and engineering applications. Our computational scientists develop new models and
codes and carry out investigations in such disciplines as climate science, cosmology, engineering diagnostics, materials science, nuclear reactor simulation, and metabolic modeling, We also collaborate with other computer and computational scientists to apply
our new software tools and techniques in large-scale applications. For example, our PETSc software package has been used in more than 700 applications worldwide. Of particular note is our work with teams in the SciDAC-3 Scientific Computation Application Partnership
project to apply the most advanced computer science techniques to DOE's most critical applications. MCS's goal is to push the envelope in both computers science and computational science advances using emerging extreme-scale platforms. http://www/mcs.anl.gov/group/science-engineering-applications |
MCS:Mathematics and Computer Science Division |