| layout | title | comments | category | tags |
|---|---|---|---|---|
post |
Parallel Programming - Chris Paciorek |
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posts |
meeting hpc |
- Chris Paciorek
- Matias (Ipython)
- Min RK (IPython)
- Josh Howland (NE)
- Greg (neuro)
- Andrew
- Kelly Rowland (NE)
- Sven Chilton (NE)
- Anders Priest (NE)
- David (econ)
- Rachel Slaybaugh (NE)
- Caroline Sofiatti (astro)
- Alex (undergrad)
- Katy Huff (NE)
- Ryan Pavlovsky (NE)
- Zhangpeng Guo (NE)
- Denia Djokic (NE)
- Tenzing Joshi (NE)
- Xin Wang (NE)
- Nicholas Adams (DLab)
- Vic Gehman (physics)
- others
Chris Paciorek is the statistical computing consultant in the Department of Statistics at Berkeley, as well as being a researcher and lecturer in the department. His research focuses on statistical methods (often Bayesian methods) applied to environmental and public health applications. He teaches the department's graduate-level statistical computing class, Stat 243.
For the material for today, please clone this github repository
https://github.com/berkeley-scf/parallel-thw-2015
The primary document is here
A debugger that works reasonably well for distributed parallel tasks is TotalView. It's developed by Livermore.