[hpc-announce] Call for papers for EduHPC-17: Workshop on Education for High-Performance Computing
Phillips, Cynthia A
caphill at sandia.gov
Fri Jul 21 04:42:22 CDT 2017
EduHPC-17: Workshop on Education for High-Performance Computing
Mon, Nov 13, 2017
Held in conjunction with SC-17<http://sc17.supercomputing.org/>: The International Conference on High Performance Computing, Networking, Storage, and Analysi<http://sc17.supercomputing.org/>s<http://sc17.supercomputing.org/>
CALL FOR PAPERS
High Performance Computing (HPC) and, in general, Parallel and Distributed Computing (PDC) has become pervasive, from supercomputers and server farms containing multicore CPUs and GPUs, to individual PCs, laptops, and mobile devices. Even casual users of computers now depend on parallel processing. Therefore it is important for every computer user (and especially every programmer) to understand how parallelism and distributed computing affect problem solving. It is essential for educators to impart a range of PDC and HPC knowledge and skills at multiple levels within the educational fabric woven by Computer Science (CS), Computer Engineering (CE), and related computational curricula including data science. Companies and laboratories need people with these skills, and, as a result, they are finding that they must now engage in extensive on-the-job training. Nevertheless, rapid changes in hardware platforms, languages, and programming environments increasingly challenge educators to decide what to teach and how to teach it, in order to prepare students for careers that are increasingly likely to involve PDC and HPC.
This workshop invites unpublished manuscripts from academia, industry, and government laboratories on topics pertaining to the needs and approaches for augmenting undergraduate and graduate education in Computer Science and Engineering, Computational Science, and computational courses for both STEM and business disciplines with PDC and HPC concepts. We also encourage papers on large-scale data science.
The workshop is particularly dedicated to bringing together stakeholders from industry (both hardware vendors and employers), government labs, and academia in the context of SC-17. The goal is for each to hear the challenges faced by others, to learn about various approaches to addressing these challenges, and to have opportunities to exchange ideas and solutions. In addition to contributed talks, this workshop may feature invited talks on opportunities for collaboration, resource sharing, educator training, internships, and other means of increasing cross-fertilization between industry, government, and academia.
This effort is in coordination with the NSF/TCPP curriculum initiative on Parallel and Distributed Computing<http://www.cs.gsu.edu/~tcpp/curriculum/?q=home> and the Center for Parallel and Distributed Computing Curriculum Development and Educational Resources<http://grid.cs.gsu.edu/~tcpp/curriculum/?q=node/21183> (CDER).
Topics of interest include, but are not limited to:
1. Pedagogical issues in incorporating PDC and HPC in undergraduate and graduate education, especially in core courses
2. Novel ways of teaching PDC and HPC topics
3. Data Science and Big Data aspects of teaching HPC/PDC including early experience with data science degree programs.
4. Experience with incorporating PDC and HPC topics into core CS/CE courses and in domain Computational Science and Engineering courses
5. Pedagogical tools, programming environments, infrastructures, languages, and projects for PDC and HPC
6. Employers' experiences with and expectation of the level of PDC and HPC proficiency among new graduates
7. Education resources based on higher-level programming languages, models, and environments such as PGAS, X10, Chapel, Haskell, Python, Cilk, CUDA, OpenCL, OpenACC, and Hadoop
8. Parallel and distributed models of programming and computation suitable for teaching, learning, and workforce development.
9. Projects or units that introduce students to concepts relevant to Internet of Things, networking, or other topics in mobile devices or sensor networks.
10. Issues and experiences addressing the gender gap in computing and broadening participation of underrepresented groups.
Papers: Authors should submit 6-8 page papers in pdf format through the EasyChair submission site at https://easychair.org/conferences/?conf=eduhpc17. Submissions should be formatted as single-spaced, double-column pages (IEEE format), including figures, tables, and references. See style templates for details. Accepted papers will be published in the IEEE digital library. Accepted papers will be available from the CDER website approximately 2 weeks before the workshop so attendees can read papers before attending the talks. Authors may optionally (modestly) revise their papers to incorporate feedback from the workshop.
KEYNOTE: There will be one keynote address.
PANELS and SPECIAL SESSIONS
Because EduHPC will be a full-day workshop, there will be some special sessions. Please check back to the EduHPC 2017 website in the near future for details on how to participate in a special session. Proposals for panels and special sessions are also welcome. If you have an idea for a panel or a special session, please contact the program committee chair, Cynthia Phillips (caphill at sandia.gov<mailto:caphill at sandia.gov>).
Submission deadline: Friday, September 8, 2017
Author notification: Monday, October 9, 2017
Camera-ready paper deadline: Monday, October 30, 2017
Workshop: Monday, November 13, 2017
Optional revised camera-ready paper deadline: Friday, December 1, 2017
Sushil Prasad, Georgia State University and NSF
Martina Barnas, Indiana University, Bloomington
Sheikh Ghafoor, Tennessee Technological University
Anshul Gupta, IBM Research
Cynthia Phillips, Sandia National Laboratories
Arnold Rosenberg, Northeastern University
Alan Sussman, University of Maryland
Charles Weems, University of Massachusetts
Ramachandran Vaidyanathan, Louisiana State University
Workshop Chair: Sushil K. Prasad, Georgia State University and NSF
Program Chair: Cynthia Phillips, Sandia National Laboratories
Proceedings Chair: Satish Puri, Marquette University
Program Committee: TBD
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