Everyone who knows how to code in one of the above languages to do serial tasks, but wants to understand how to code in parallel.
- One of the scripting languages
- Basic Linux knowledge
- ssh into a remote system
- Filesystem navigation
- Editing a file on the remote system
- Programming in either Matlab, Python, or R
09:00 am - 09:15 am: Introduction
09:15 am - 10:15 am: Basics of Parallel Computing (Shelley Knuth)
10:15 am - 10:30 am: Break
10:30 am - 12:30 pm: Best Practices in Parallel Computing (Pete
Ruprecht)
12:30 pm - 01:30 pm: Lunch
01:30 pm - 03:30 pm: Using Slurm in Parallel Computing (Pete
Ruprecht)
03:30 pm - 03:45 pm: Break
03:45 pm - 04:45 pm: Profiling your code (Thomas Hauser)
09:00 am - 09:15 am: Introduction
09:15 am - 10:30 am: Parallel Computing Toolbox (Shelley Knuth)
10:30 am - 10:45 am: Break
10:45 am - 12:15 pm: Matlab and GPU Nodes (Shelley Knuth)
12:15 pm - 01:15 pm: Lunch
01:15 pm - 02:30 pm: High Throughput Computing with Bash scripting
and GNU parallel (Jonathon Anderson)
02:30 pm - 02:45 pm: Break
02:45 pm - 04:00 pm: High Throughput Computing with Job Arrays and
the CURC (Jonathon Anderson)
09:00 am - 09:15 am: Introduction
09:15 am - 10:30 am: Efficient Serial Programming using NumPy
10:30 am - 10:45 am: Break
10:45 am - 12:15 pm: Parallel Programming with IPyParallel
12:15 pm - 01:15 pm: Lunch
01:15 pm - 02:30 pm: Advanced Topics: Python Environment Management;
MPI4PY
02:30 pm - 02:45 pm: Break
02:45 pm - 04:00 pm: Parallelize Your Code! (Hackathon/Consulting
time)
09:00 am - 09:15 am: Introduction
09:15 am - 10:00 am: Setting up your R environment
10:00 am - 10:30 am: Writing efficient serial R programs that can be
parallelized easily
10:30 am - 10:45 am: Break
10:45 am - 12:15 pm: Parallel Programming in R with the parallel
package
12:15 pm - 01:15 pm: Lunch
01:15 pm - 02:30 pm: Parallel Programming in R with the Rmpi package
02:30 pm - 02:45 pm: Break
02:45 pm - 04:00 pm: Parallelize Your Code! (Hackathon/Consulting
time)