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.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 315-322 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781538634080 |
| DOIs | |
| State | Published - Jun 30 2017 |
| Event | 31st IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017 - Orlando, United States Duration: May 29 2017 → Jun 2 2017 |
Publication series
| Name | Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017 |
|---|
Other
| Other | 31st IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017 |
|---|---|
| Country | United States |
| City | Orlando |
| Period | 5/29/17 → 6/2/17 |
Fingerprint
Keywords
- CUDA
- GPU
- OpenACC
- OpenCL
- massive open online courses
- online education
- programming education
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Networks and Communications
- Information Systems
Cite this
RAI : A scalable project submission system for parallel programming courses. / Dakkak, Abdul; Pearson, Carl; Li, Cheng; Hwu, Wen-Mei W.
Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 315-322 7965062 (Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - RAI
T2 - A scalable project submission system for parallel programming courses
AU - Dakkak, Abdul
AU - Pearson, Carl
AU - Li, Cheng
AU - Hwu, Wen-Mei W
PY - 2017/6/30
Y1 - 2017/6/30
N2 - 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.
AB - 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.
KW - CUDA
KW - GPU
KW - OpenACC
KW - OpenCL
KW - massive open online courses
KW - online education
KW - programming education
UR - http://www.scopus.com/inward/record.url?scp=85028073146&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028073146&partnerID=8YFLogxK
U2 - 10.1109/IPDPSW.2017.173
DO - 10.1109/IPDPSW.2017.173
M3 - Conference contribution
T3 - Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017
SP - 315
EP - 322
BT - Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -