Session slides: pptx, pdf
All session materials: zip, tar.gz, readme

Introductory Python:

• pythonCrashCourse.py: for those familiar with programming but not Python.
• pythonIntro.py: also including list comprehensions (pythonIntro3.py)

Processes, communication:

• spawningProcesses.py: processes, locks
• communication.py: queues for communication between processes
• speedup.py: parallel versus sequential timings

Pool/map:
Pool-based methods cannot be run through the IDLE shell (see here).

$python[3] file.py

• parallelHello.py
• pools.py
• parallelSumPrimes.py
• parallelMontePi.py: Monte Carlo estimation of &pi
• parallelIntegration.py: Riemann sum

Sorting:

• parallelQuicksort.py: using Process/Pipe
• parallelMergesort.py: using Process/Pipe
• parallelMergesortPool.py: using Pool/map
• C-Pthreads references: parallelQuicksort.c, parallelMergesort.c

Applications:

• applications.py: clustering, pipelined floating point addition
  

Test/quiz questions on PDC:

• SampleQuestions.pdf: extensive examples.
• prog6.pdf, and tex file: brief CS2-apropriate assignment.
• quiz12.pdf, and tex file: fun quiz example introducing parallelism.

We gratefully acknowledge the support of:

• NSF-TCPP Core Curriculum Initiative on Parallel and
  Distributed Computing Early Adopter Award.


• National Science Foundation through grant
  CCF-0915805, SHF:Small:RUI:Collaborative Research:
  Accelerators to Applications - Supercharging the
  Undergraduate Computer Science Curriculum.