Brown-ICERM-Kobe Simulation Summer School
For the third consecutive year, the Division of Applied Mathematics welcomes students from Kobe University for an intensive research experienceGoals
This unique program has three important objectives. First, it provides graduate students with opportunities to acquire fundamental knowledge and skills in high performance computing, including parallel computing and visualization in 3D caves, and to expose them to the research carried out in these areas at Brown and Kobe Universities. Second, graduate students will learn how to work collaboratively in teams, thus preparing them for the changing nature of research. Finally, the program will provide students with opportunities to develop a global perspective and mindset through participation in a culturally rich and diverse program.
Format
During the first week in Providence, students will attend mini-courses that provide an introduction to numerical algorithms, parallel computing, training on the FX-10 supercomputer in Kobe, and application areas. Simultaneously, student teams, led by advanced graduate students, postdocs, and faculty, will begin to work on their projects. During the second week in Kobe, the student teams will continue to work on their projects, run simulation on Kobe’s FX-10 (which has the same architecture as RIKEN’s K computer), and visualize results and data on Kobe’s 3D visualization system. Teams present their results on the last day to an audience of administrators and research faculty at Kobe University.
Distinctive Features
The program is distinguished by (i) the small number of participants and their teams, which allows for individual instruction, mentoring, and support, (ii) a two-week intensive research summer school which enhances multi-cultural competencies among students, and (iii) the participation of distinctive researchers from Brown, Kobe, and the RIKEN Advanced Institute for Computational Science as guest lecturers. will provide students with opportunities to develop a global perspective and mindset through participation in a culturally rich and diverse program.
Past Summer School Projects
A downloadable pdf describing the projects is provided and are listed below:
- Dissipative particle simulation of a membrane (Clark Bowman)
- Density functional theory calculations of molecular orbital evolution during chemical reactions (Amanda Howard and Yu-Hang Tang)
- Uncovering the patterns behind patterns (Elizabeth Makrides)
- Computer Simulations on Rocket-Plasma Interactions (Yohei Miyake)
- Simulations of geophysical fluids and planetary atmospheres (Yoshiyuki O. Takahashi)
- Instructor of HPC Tutorial: Yu-Hang Tang
Sessions
| Providence Session | August 17 - 21, 2015 |
| Travel | August 22 - 24, 2015 |
| Excursion | August 25, 2015 |
| Kobe Session | August 26 - 30, 2015 |
| Kobe, Final Presentations |
August 31, 2015 |
Schedule
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Monday, August 17 8:30 a.m.
Afternoon
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Summer School begins Breakfast Introductory talks by program leaders and short presentations by project participants Introductory talks on HPC |
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Tuesday, August 18 9:00 a.m.
5:30 p.m. |
Summer School continues in separate groups
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Wednesday, August 19 9:00 a.m. |
Summer School continues in separate groups |
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Thursday, August 20 9:00 a.m. |
Summer School continues in separate groups |
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Friday, August 21 9:00 a.m.
1:00 p.m. |
Summer School continues in separate groups
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Saturday, August 22
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TRAVEL |
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Monday, August 31 |
Final presentations for each group, location and time TBD |
Prerequisites
This program is open to first- to second-year graduate students. Prior exposure to scientific computing and programming is useful but not required.
History
The first two Brown-ICERM-Kobe Simulation Schools ran in August 2013 and 2014, each time with 3 research teams, consisting of one team leader and 4-5 team members. In 2014, the projects focused on the:
- Peridynamic Theory of Solid Mechanics
- Dissipative Particle Dynamics Simulation
- Direct Numerical Simulation of Turbulent Channel Flow
Registration
If you are interested in participating as a regular participant (you should be a first- or second-year graduate student), or a project leader (advanced graduate student or postdoc), please email Bjorn Sandstede.