Parallel Programming - Chris Paciorek

Attending

• 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

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.

Parallel Programming

For the material for today, please clone this github repository

https://github.com/berkeley-scf/parallel-thw-2015

The primary document is here

Lightning Talks

Rachel Slaybaugh : TotalView

A debugger that works reasonably well for distributed parallel tasks is TotalView. It’s developed by Livermore.