BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:America/Chicago X-LIC-LOCATION:America/Chicago BEGIN:DAYLIGHT TZOFFSETFROM:-0600 TZOFFSETTO:-0500 TZNAME:CDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0500 TZOFFSETTO:-0600 TZNAME:CST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20181221T160909Z LOCATION:D168 DTSTART;TZID=America/Chicago:20181111T090000 DTEND;TZID=America/Chicago:20181111T173000 UID:submissions.supercomputing.org_SC18_sess165@linklings.com SUMMARY:Workshop on Education for High Performance Computing (EduHPC) DESCRIPTION:Workshop\nDiversity, Education, Workshop Reg Pass\n\nIntroduct ion - Workshop on Education for High Performance Computing (EduHPC)\n\nPra sad, Saule, Deb\n\nThe EduHPC Workshop is devoted to the development and a ssessment of educational resources for undergraduate and graduate educatio n in High Performance Computing (HPC) and Parallel and Distributed Computi ng (PDC). Data science curriculum (e.g. for new degree programs and withi n data science centers)...\n\n---------------------\nBuilding a Low Budget Cluster Through Hardware Reuse\n\nEllsworth, Watson, Conger\n\nExploring parallel programming at the undergraduate level is difficult due to the li mited availability of hardware exposing sufficient parallelism. While incr easing core counts in consumer hardware is helping to address this, core c ounts are still low, and system noise from desktop operating systems...\n\ n---------------------\nExperience Report: 4 Years of Teaching Cloud Compu ting and Big Data at the University Level\n\nTalaga\n\nValuable insights c an be gained from teaching a combined Cloud Computing/Big Data course over many years between differing sized institutions and hundreds of students. We report and reflect on the content of the course, schedule, assignments , student feedback, and hardware/software used starting at ...\n\n-------- -------------\nPeachy Introduction\n\nBunde\n\n---------------------\nPape r Discussion\n\n\n\n---------------------\nStorms of High-Energy Particles : An assignment for OpenMP, MPI, and CUDA/OpenCL\n\nGonzalez-Escribano, Ro driguez-Gutiez\n\nWe present an assignment used in a Parallel Computing co urse to teach the approaches to the same problem in different parallel pro gramming models. It targets basic concepts of shared-memory programming wi th OpenMP, distributed-memory programming with MPI, and GPU programming wi th CUDA or OpenCL. Thi...\n\n---------------------\nWorkshop Lunch (on you r own)\n\n\n\n---------------------\nWorkshop Morning Break\n\n\n\n------- --------------\nPaper Discussion\n\n\n\n---------------------\nPaper Discu ssion\n\n\n\n---------------------\nWorkshop Morning Break\n\n\n\n-------- -------------\nTeaching HPC Systems and Parallel Programming with Small Sc ale Clusters of Embedded SoCs\n\nAlvarez, Ayguade, Mantovani\n\nIn the las t decades, the continuous proliferation of High-Performance Computing (HPC ) systems and data centers has augmented the demand for expert HPC system designers, administrators and programmers. For this reason, most universit ies have introduced courses on HPC systems and parallel programming ...\n\ n---------------------\nJupyter Notebooks and User-Friendly HPC Access\n\n Glick, Mache\n\nHigh performance computing systems can be hard to use, and can require advanced knowledge of the command line, resource managers, an d other details that scientists without a systems administration backgroun d may find distracting. In this project, we describe our extensible gatewa y of tools which has...\n\n---------------------\nA One Year Retrospective on a MOOC in Parallel, Concurrent, and Distributed Programming in Java\n\ nSarkar, Grossman, Budimlic, Imam\n\nMuch progress has been made on integr ating parallel programming into the core Computer Science curriculum of to p-tier universities in the United States. For example, "COMP 322: Introduc tion to Parallel Programming'' at Rice University is a required course for all undergraduate students pursuing a ba...\n\n---------------------\nTow ard Developing a Repository of Logical Errors Observed in Parallel Code fo r Teaching Code Correctness\n\nNguyen, Arora\n\nDebugging parallel program s can be a challenging task, especially for the beginners. While parallel debuggers like DDT and TotalView can be extremely useful in tracking down the program statements that are connected to the bugs, often the onus is o n the programmers to reason about the logic of the p...\n\n--------------- ------\nPresentation of Updates from the Community\n\n\n\n---------------- -----\nComputing a Movie of Zooming into a Fractal\n\nBurtscher\n\nnone\n\ n---------------------\nOptimization of an Image Processing Algorithm: His togram Equalization\n\nGutierrez, Kaeli, Previlon\n\nMany textbooks rely o n classical linear algebra examples to illustrate best practices in parall el programming (e.g., matrix multiplication and vector add). Despite their common use in class, these examples lack sophistication of a complete app lication. We have found that students seem to be more mot...\n\n---------- -----------\nThe Wave Equation as a Motivating Example for High Performanc e Computing\n\nJoiner\n\nA series of activities based on the solution of t he wave equation in 1 and 3 dimensions spanning multiple concepts in a tra ditional high performance computing class are presented.\n\n-------------- -------\nOpenMP: What’s Inside the Black Box?\n\nAyguade, Alvarez, Banchel li\n\nThis paper presents the "Implementing a minimal OpenMP runtime using Pthreads" assignment that is offered to students of Parallel Programming and Architectures (PAP), a third-year subject in the Bachelor Degree in In formatics Engineering at the Barcelona School of Informatics (FIB) of the Universita...\n\n---------------------\nClosing Remarks\n\nSaule\n\n------ ---------------\nDiscussions on Peachy Assignment and Community Update\n\n \n\n---------------------\nKeynote Talk: Student Engagement: View from the Trenches\n\nThota\n\nWe are well aware of the importance of imparting PDC and HPC knowledge and skills to our students to prepare them for careers in Computer Science (CS), Computer Engineering (CE), Data Science, and oth er related careers. In my talk, I focus on the challenges of keeping stude nts engaged, the pedagogic...\n\n---------------------\nBest Paper Announc ement\n\nSaule\n\n---------------------\nPDC Curriculum Update\n\nWeems, V aidyanathan, Sussman, Prasad, Estrada...\n\n---------------------\nSMPI Co urseware: Teaching Distributed-Memory Computing with MPI in Simulation\n\n Casanova, Legrand, Quinson, Suter\n\nIt is typical in High Performance Com puting (HPC) courses to give students access to HPC platforms so that they can benefit from hands-on learning opportunities. Using such platforms, h owever, comes with logistical and pedagogical challenges. For instance, a logistical challenge is that access to re...\n\n---------------------\nEmp loying Student Retention Strategies for an Introductory GPU Programming Co urse\n\nGutierrez, Kaeli, Previlon\n\nGraphics Processing Units (GPUs) hav e become a vital hardware resource for the industry and research community due to their high computing capabilities. Despite this, GPUs have not bee n introduced into the undergraduate curriculum of Computer Engineering and are barely covered in graduate courses.\n\n...\n\n---------------------\n Filling the Gap between Education and Industry: Evidence-Based Methods for Introducing Undergraduate Students to HPC\n\nBanchelli Gracia, Mantovani\ n\nEducational institutions provide, in most cases, basic theoretical back ground covering several computational science topics. However High Perfor mance Computing (HPC) and Parallel and Distributed Computing (PDC) markets require specialized technical profiles. Even the most skilled students ar e often...\n\n---------------------\nEvaluating the Wide Area Classroom af ter 10,500 HPC Students\n\nUrbanic, Maiden\n\nAs of mid-2018 we have taugh t over 10,500 students in the course of 58 HPC events using the Wide Area Classroom, a novel distributed teaching platform. This has been a successf ul effort gauged by several important metrics. We describe both the techni cal and logistical structure of these events as we...\n\n----------------- ----\nIntroducing Three Basic Concepts in Parallel Computation to 1st Year Computer Science Students in a Simple and Effective Way\n\nKundu, Kimm\n\ nWhat are some simple computation problems, with non-trivial applications, by which we can introduce the three basic concepts in parallel computatio n to 1st year Computer Science students who have little programming experi ence and knowledge of algorithms. Those three basic concepts are: (1) How paral...\n\n---------------------\nEngaging Students in Parallel and Distr ibuted Computing Learning by Games Design Using Unity\n\nCao, Ding, Zhu\n\ nParallel and distributed computing (PDC) is increasingly important in sci ence and engineering discipline, yet many computer science curriculum espe cially in the early college years either do not provide students with adeq uate PDC components, or there are pedagogical challenges for students to l earn ...\n\n---------------------\nLessons from Integrating Parallelism in to Undergraduate Curriculum at UMKC\n\nKuhail\n\nAt the University of Miss ouri-Kansas City (UMKC), we successfully integrated parallelism into the u ndergraduate Data Structures course. In this paper, we share lessons learn ed from the teaching strategies that have successfully worked and the stra tegies that unfortunately did not. Our results are ba...\n\n-------------- -------\nA Comprehensive Parallel Computing Curriculum: From Second Year to Professionals\n\nStrazdins\n\nThe Australian National University has ha d a long tradition of teaching all aspects of Parallel Computing. It begin s with introductory elements of parallelism in a second year computer orga nization course and is followed up by a later second year course in Concur rent and Distributed Systems. The cur...\n\n---------------------\nEight Y ears Analysis of Adopting PDC in Data Structures at UCA\n\nChen\n\nUnivers ity of Central Arkansas (UCA) is located at the center of Arkansas. The student population of UCA is between 10,000 and 12,000. The student body of UCA is around 20% minority and 60% female. UCA was established (in 190 7) over a hundred years ago. It is the third largest public school as ... \n\n---------------------\nIntroducing PDC Concepts with Spatial Computing Curriculum\n\nPuri\n\nFrom online maps, such as Google Maps, to consumer GPS devices, we immensely benefit from spatial computing. As a new early a dopter (started in 2018) from Marquette University, I present my project i n which introduce parallel and distributed computing (PDC) concepts using topics from spatial computi...\n END:VEVENT END:VCALENDAR