You will find attached two calls for the EduHPC 2018 workshop, to be held on November 11, 2018 in Dallas, Texas, and colocated with SC18. EduHPC is a workshop concerned with the education of High Performance Computing, Parallel and Distributed Computing, Computation Science, and Data Science; not only in a dedicated course but at all levels of the computing education stages. EduHPC is seeking two types of submissions. Submissions of Regular Papers are meant to discuss deeply educational material and techniques. Submission of Peachy Assignments are meant to present exciting assignments that can be used in classes. See the call for paper and call for peachy assignment. *==============================================================* *EduHPC 2018 - CALL for PAPERS* *==============================================================* *EduHPC-18: Workshop on Education for High-Performance Computing (EduHPC-18)* *KAY BAILEY HUTCHISON CONVENTION CENTER DALLAS* *Dallas, Texas* *Co-located with SC18* *November 11, 2018* https://grid.cs.gsu.edu/~tcpp/curriculum/?q=eduhpc18 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 computing devices 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 This workshop invites unpublished manuscripts from academia, industry, and government laboratories on topics pertaining to the augmentation of undergraduate and graduate education in Computer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. Recently, the workshop also extended its focus to data science and computational science education. Additionally, we highly encourage manuscripts that validate their innovative approaches through the systematic collection and analysis of information to evaluate their performance and impact. The workshop is particularly dedicated to bringing together stakeholders from industry (both hardware vendors and employers), government labs, and academia in the context of SC18. 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 ( https://grid.cs.gsu.edu/~tcpp/curriculum/?q=home ) and the Center for Parallel and Distributed Computing Curriculum Development and Educational Resources (CDER at https://grid.cs.gsu.edu/~tcpp/curriculum/?q=node/21183 ). 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. Evidence-based educational practices for teaching HPC/PDC topics that provide evidence about what works best under what circumstances 5. Experience with incorporating PDC and HPC topics into core CS/CE courses and in domain Computational Science and Engineering courses 6. Pedagogical tools, programming environments, infrastructures, languages, and projects for PDC and HPC 7. Employers' experiences with and expectation of the level of PDC and HPC proficiency among new graduates 8. Education resources based on higher-level programming languages and environments such as X10, Chapel, Haskell, Python, Cilk, Rust, CUDA, OpenCL, OpenACC, Hadoop, and Spark 9. Parallel and distributed models of programming and computation suitable for teaching, learning, and workforce development 10. Projects or units that introduce students to concepts relevant to Internet of Things, networking, or other topics in mobile devices or sensor networks 11. Issues and experiences broadening the participation of underrepresented groups (e.g., gender gap, ethnic gap, socio-economic gap) in the High Performance Computing community or through the use of High Performance Computing 12. Pedagogical techniques or tools that help write correct of parallel program such as light-weight formal methods and parallel debugging practices Travel support: 10-15 travel awards of up to $1500/award for the NSF/TCPP Curriculum Early Adopter authors of papers, peachy assignments or posters. KEYNOTE There will be one keynote address. SUBMISSION GUIDELINES *Regular Papers*: Authors should submit 8-10 page papers in pdf format through the submission site ( https://submissions.supercomputing.org/?page=Submit&id=SC18WorkshopEduHPCPap... ). Submissions should be formatted as single-spaced, double-column pages (IEEE format), including figures, tables, and references. All accepted papers will be published in the IEEE TCHPC Proceedings and will be included in the IEEE Xplore digital library. Accepted papers will be available before the workshop so attendees can read papers before attending the talks. *SC Reproducibility Initiative*: Considering SC’s focus on reproducibility, we highly encourage authors of the regular papers to provide an artifact description appendix (up to two pages) along with their manuscript, describing the details of their software environments and computational experiments to the extent that an independent person could replicate their results. More information on the reproducibility initiative can be found on SC18's website ( https://sc18.supercomputing.org/submit/sc-reproducibility-initiative/ ). In the context of educational research, the artifact description appendix may contain the detailed description of the tools or techniques, classroom evaluation settings, metrics, evaluation results etc. *Peachy Parallel Assignments*: EduHPC-18 is also seeking submission of Peachy assignments. These are high-quality assignments in the spirit of Nifty assignments, previously tested in class, that are readily adoptable by other educators teaching topics in parallel and distributed computing. Initial submissions should be a 1-page PDF document describing the assignment and its context of use. The best peachy assignments will be invited to be presented at the workshop. We are investigating the possibility of including them in some form in the proceedings. More information is available on EduHPC-18 website ( https://grid.cs.gsu.edu/~tcpp/curriculum/?q=eduhpc18 ). PANELS and SPECIAL SESSIONS Because EduHPC will be a full-day workshop, there will be some special sessions. Please check back to the EduHPC 2018 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 chairs, Erik Saule ([email protected]), Debzani Deb ([email protected]). IMPORTANT DATES Paper Submission deadline:Monday, August 20, 2018 (11:59 pm Anywhere on Earth) Paper Author notification: Monday, September 24, 2018 Paper Camera-ready paper deadline: Friday, October 5, 2018 Peachy Assignment submission deadline: Friday September 7, 2018 (11:59 pm Anywhere on Earth) Peachy Assignment Author notification: Monday, September 24, 2018 Peachy Assignment Camera Ready: Monday October 1, 2018 Early conference registration deadline: Friday October 12, 2018 Workshop: Sunday, November 11, 2018 ORGANIZATION Organizing Committee: Sushil Prasad, Georgia State University, USA Martina Barnas, Indiana University, Bloomington, USA Sheikh Ghafoor, Tennessee Technological University, USA Anshul Gupta, IBM Research, USA Cynthia Phillips, Sandia National Laboratories, USA Arnold Rosenberg, Northeastern University, USA Alan Sussman, University of Maryland, USA Charles Weems, University of Massachusetts, USA Ramachandran Vaidyanathan, Louisiana State University, USA Workshop Chair: Sushil K. Prasad, Georgia State University, USA Program Chair: Erik Saule, University of North Carolina at Charlotte, USA Program Vice Chair: Debzani Deb, Winston-Salem State University, USA Peachy Assignments Coordinator: David Bunde, Knox College, USA Program Committee: Joel Adams, Calvin College, USA David Bunde, Knox College, USA Bruce Char, Drexel University, USA Javier Cuenca, University of Murcia, Spain Joshua Eckroth, Stetson University, USA Trice Estrada, University of New Mexico, USA Nickolas Falkner, University of Adelaide, Australia Samantha S. Foley, University of Wisconsin-La Crosse, USA Nasser Giacaman, University of Auckland, New Zealand Alfredo Goldman, University of Sao Paulo, Brazil Ganesh Gopalakrishnan, University of Utah, USA Anshul Gupta, IBM Thomas J. Watson Research Center, USA Devangi Parikh, The University of Texas at Austin, USA Julio Sahuquillo, Universitat Politecnica de Valencia, Spain Jawwad Shamsi, FAST National University of Computer and Emerging Sciences, Pakistan Gokarna Sharma, Kent State University, USA Elizabeth Shoop, Macalester College, USA Jean-Marc Vincent, Grenoble Alpes University, France *==============================================================* *EduHPC 2018 - CALL for PEACHY COURSE ASSIGNMENTS* *==============================================================* *EduHPC-18: Workshop on Education for High-Performance Computing (EduHPC-18)* *KAY BAILEY HUTCHISON CONVENTION CENTER DALLAS* *Dallas, Texas* *Co-located with SC18* *November 11, 2018* https://grid.cs.gsu.edu/~tcpp/curriculum/?q=eduhpc18 EduHPC provides a global forum for exploring new ideas and experiences related to a seamless inclusion of PDC topics in a CS/CE and related curricula primarily at undergraduate levels, but also at K-12 and graduate levels, and in informal settings. To provide some historical perspective, since 2013, EduHPC has been held successfully against the backdrop of the SC, the main conference for all things HPC. This effort is in coordination with the NSF/TCPP curriculum initiative ( http://www.cs.gsu.edu/~tcpp/curriculum ) for CS/CE undergraduates supported by NSF and its NSF-supported Center for Parallel and Distributed Computing Curriculum Development and Educational Resources (CDER). For more information about the workshop, including list of topics of interest, please see https://grid.cs.gsu.edu/~tcpp/curriculum/?q=eduhpc18 *PEACHY PARALLEL ASSIGNMENTS*: Course assignments are integral to student learning in computing and also play an important role in student perceptions of the field. Instructors love to give exciting assignments that highlight important applications while emphasizing important principles and techniques. Unfortunately, creating great assignments is time-consuming and even our best efforts do not always succeed. With this in mind, EduHPC is introducing a session showcasing "Peachy Parallel Assignments" - high-quality assignments, previously-tested in class, that are readily adoptable by other educators teaching topics in parallel and distributed computing. This effort is inspired by "Nifty Assignments" ( http://nifty.stanford.edu ). We invite submissions of "Peachy Parallel Assignments" to highlight in this special session. Assignments may be previously published, but the author must have the right to publish a description of it and share all supporting materials. We are seeking assignments that are 1) Tested - All submitted assignments should have been used successfully in a class. 2) Adoptable - Preference will be given to assignments that are widely applicable and easy to adopt. Traits of such assignments include coverage of widely-taught concepts, using common parallel languages and widely-available hardware, having few prerequisites, and (with variations) being appropriate for different levels of students. 3) Cool and Inspirational - Peachy assignments should be fun and inspiring for students. They encourage students to spend time with the relevant concepts. Ideal assignments are those that students want to demonstrate to their roommate. Assignments can cover any topics in Parallel and Distributed Computing. SUBMISSION GUIDELINES: *Peachy Assignment Track*: Initial submissions should be a 1-page PDF document describing the assignment and its context of use. What is the main idea? What concepts are covered? Who are its targeted students? In what context have you used it? What prerequisite material does it assume they have seen? What are its strengths and weaknesses? Are there any variations that may be of interest? This initial description should be submitted through Linklings in the EduHPC Peachy Assignments track. https://submissions.supercomputing.org/?page=Submit&id=SC18WorkshopEduHPCPea... If accepted, authors will be asked to submit their (a) 1-page camera-ready paper, and (b) a poster to be presented and published on the workshop website, and (c) assignment (the file actually given to students) and any supporting materials (given code, etc.) to be archived and maintained on CDER courseware repository ( https://grid.cs.gsu.edu/~tcpp/curriculum/?q=courseware_management ). Publication through IEEE TCHPC. EduHPC is currently investigating the possibility of including the Peachy Assignment as part of the proceedings published through IEEE TCHPC in one form or another. Contact us for more information. *Regular Paper Track*: EduHPC is also seeking submissions of papers on the education of High Performance Computing, Parallel and Distributed Computing, Data Science, and Computational Sciences. See details at: https://grid.cs.gsu.edu/~tcpp/curriculum/?q=eduhpc18 IMPORTANT DATES Peachy Assignment submission deadline: Friday September 7, 2018 (11:59 pm Anywhere on Earth) Peachy Assignment Author notification: Monday, September 24, 2018 Peachy Assignment Camera Ready: Monday October 1, 2018 Paper Submission deadline: Monday, August 20, 2018 (11:59 pm Anywhere on Earth) Paper Author notification: Monday, September 24, 2018 Paper Camera-ready paper deadline: Friday, October 5, 2018 Early conference registration deadline: Friday October 12, 2018 Workshop: Sunday, November 11, 2018 Contact: [email protected] about Peachy Assignments, or [email protected] about EduHPC in general The organizing committee for EduHPC-18 includes: Workshop Chair: Sushil Prasad (Georgia State University, USA) Program Chair: Erik Saule (University of North Carolina at Charlotte, USA) Program Vice Chair: Debzani Deb (Winston-Salem State University, USA) Peachy Assignments Coordinator: David Bunde (Knox College, USA) The program committee includes: Joel Adams, Calvin College, USA David Bunde, Knox College, USA Bruce Char, Drexel University, USA Javier Cuenca, University of Murcia, Spain Joshua Eckroth, Stetson University, USA Trilce Estrada, University of New Mexico, USA Nickolas Falkner, University of Adelaide, Australia Samantha S. Foley, University of Wisconsin-La Crosse, USA Nasser Giacaman, University of Auckland, New Zealand Alfredo Goldman, University of Sao Paulo, Brazil Ganesh Gopalakrishnan, University of Utah, USA Anshul Gupta, IBM Thomas J. Watson Research Center, USA Devangi Parikh, University of Texas at Austin, USA Julio Sahuquillo, Universitat Politecnica de Valencia, Spain Jawwad Shamsi, FAST National University of Computer and Emerging Sciences, Pakistan Gokarna Sharma, Kent State University, USA Elizabeth Shoop, Macalester College, USA Jean-Marc Vincent, Grenoble Alpes University, France