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Peachy Assignments

This page has the resources for Peachy Parallel Assignments, assignments shared so that others can adopt them while teaching topics in parallel and distributed computing. They are a submission category at the EduPar and EduHPC conferences and are peer reviewed to ensure they meet the following criteria:

  • Tested: All Peachy Parallel Assignments have been successfully used with real students.
  • Adoptable: Peachy Parallel Assignments are easy to adopt. This includes not only the provided materials, but also the content being covered. Ideally, the assignments cover widely-taught concepts using common parallel languages and widely-available hardware, have few prerequisites, and (with variations) are appropriate for different levels of students.
  • Cool and inspirational: Peachy Assignments are fun and inspiring for students. They encourage students to spend time with the relevant concepts. Ideal Peachy Assignments are those that students want to demonstrate to their roommate.

Peachy assignments are intended to be the analog of Nifty assignments for parallel and distributed computing.

 

Try out these assignments using the materials below. Then remember to share your own awesome assignments by submitting them to the next conference with a Peachy contest!

EduHPC 2019

EduPar 2019

EduHPC 2018

EduPar 2018

  • Using the Monte Carlo Pattern to Simulate a Forest Fire by Joel C. Adams (writeup, materials for assignment)
  • Fire Simulator and Fractals: using a visualization library to introduce CUDA by Tia Newhall and Andrew Danner (writeup, materials for assignment (external link))
  • Peachy Unplugged Parallels by David W. Brown (writeup)
  • Reproducibility in Parallel Computing using Floating-Point Arithmetic by Ganesh Gopalakrishnan (writeup)
  • Data Races are Pure Evil: A Simple Java-based Illustration by Ganesh Gopalakrishnan (writeup)
  • Parallel Programming Performance Hinges on Memory Access Efficiency by Ganesh Gopalakrishnan (writeup)