Parallel and Distributed Computing (PDC) along with High Performance Computing(HPC) 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 upon parallel processing. Thus 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. 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This workshop invites unpublished manuscripts from academia, industry, and government laboratories on topics pertaining to the needs and approaches for augmenting undergraduate and graduate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.
The workshop is particularly dedicated to bringing together stakeholders from industry (both hardware vendors and employers), government labs, funding agencies, and academia in the context of SC-16, so that each can hear the challenges faced by others, can learn the various approaches to addressing these challenges, and can have opportunities to exchange ideas and solutions. In addition to contributed talks, this workshop will feature invited talks on opportunities for collaboration, resource sharing, educator training, internships, and other means of increasing cross-fertilization between industry, government, and academia. Proposals for panels and special sessions are also welcome.
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. Experience with incorporating PDC and HPC topics into core CS/CE courses.
4. Pedagogical tools, programming environments, infrastructures, languages, and projects for PDC and HPC.
5. Employers’ experiences with and expectation of the level of PDC and HPC proficiency among new graduates.
6. Educational resources based on higher level programming languages such as PGAS, X10, Chapel, Haskell, Python and Cilk, and emerging environments such as CUDA, OpenCL, OpenACC, and Hadoop.
7. Parallel and distributed models of programming/computation suitable for teaching, learning and workforce development.
11月14日
2016
会议日期
初稿截稿日期
注册截止日期
2017年11月13日 美国
2017年高性能计算教育研讨会2015年11月16日 美国
2015高性能计算教育研讨会
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