7th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar 2017)

May 29-June 2, 2017

Orlanda, Florida, USA

Call For Papers

Parallel and Distributed Computing (PDC) now permeates most computing activities. The pervasiveness of computing devices that contain multicore CPUs and GPUs is making even common users depend on parallel processing. The ever increasing use of web-based services and emerging applications, such as cloud computing, big data analytics, and the Internet of Things, is weaving high performance computing (HPC) and distributed computing into the fabric of modern society.  Traditional sequential programming skills are no longer sufficient even for basic programmers. These changes in the computing landscape point to the need for providing a broad-based skill set in PDC technology at various levels in the educational fabric woven by Computer Science (CS) and Computer Engineering (CE) programs as well as related computational disciplines.  However, the rapid changes in hardware platforms, devices, languages, and supporting programming environments continue to challenge educators in ascertaining appropriate content for curriculum and how to teach that content effectively.

Topics of Interest

Pedagogical issues and novel ways of teaching PDC topics, including informal learning environments

Models for incorporating PDC topics in core CS/CE and domain computational science and engineering curricula

Experience with integrating PDC topics into core CS/CE and domain computational science and engineering courses and applying the learning experience in other contexts

Pedagogical tools, programming environments, and languages for PDC

Employers’ experiences with and expectation of the level of PDC proficiency among new graduates.

Issues and experiences to address gender gap and broadening participation of underrepresented groups (both students and educators) in PDC.

Teaching of HPC and Big Data Analytics across STEM disciplines

Incorporating PDC/HPC topics in computing literacy and AP computer science course

Important Dates

Submission site opens :December 1, 2016

Abstract Submission (encouraged):January 06, 2017

Full paper due: January 13, 2017

Author notification: February 20, 2017

Camera-ready paper due :February 28,2017

User Name : Anika
Posted 29-11-2016 on 09:46:55 AEDT

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