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title = "RAI: A Scalable Project Submission System for Parallel Programming Courses"
author = "Carl Pearson"
title = "[IPDPSw] RAI: A Scalable Project Submission System for Parallel Programming Courses"
date = 2017-05-29
description = ""
tags = ["teaching"]
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# Authors. Comma separated list, e.g. `["Bob Smith", "David Jones"]`.
authors = ["Adbul Dakkak", "Carl Pearson", "Cheng Li"]
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publication = "*Parallel and Distributed Processing Symposium Workshops, 2017 IEEE International.* IEEE, 2017."
publication_short = "IPDPS Workshop 2017"
# Abstract and optional shortened version.
abstract = "A major component of many advanced programming courses is an open-ended “end-of-term project” assignment. Delivering and evaluating open-ended parallel programming projects for hundreds or thousands of students brings a need for broad system reconfigurability coupled with challenges of testing and development uniformity, access to esoteric hardware and programming environments, scalability, and security. We present RAI, a secure and extensible system for delivering open-ended programming assignments configured with access to different hardware and software requirements. We describe how the system was used to deliver a programming-competition-style final project in an introductory GPU programming course at the University of Illinois Urbana-Champaign."
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projects = ["teaching_tools"]
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url_pdf = "pdf/rai-edupar2017.pdf"
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**Adbul Dakkak, Carl Pearson, Cheng Li**
In *Parallel and Distributed Processing Symposium Workshops, 2017 IEEE International.*
A major component of many advanced programming courses is an open-ended “end-of-term project” assignment. Delivering and evaluating open-ended parallel programming projects for hundreds or thousands of students brings a need for broad system reconfigurability coupled with challenges of testing and development uniformity, access to esoteric hardware and programming environments, scalability, and security. We present RAI, a secure and extensible system for delivering open-ended programming assignments configured with access to different hardware and software requirements. We describe how the system was used to deliver a programming-competition-style final project in an introductory GPU programming course at the University of Illinois Urbana-Champaign.
* [pdf](/pdf/rai-edupar2017.pdf)