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EduPar- 13: Third NSF/TCPP Workshop on Parallel and Distributed Computing Education

EduPar- 13: Third NSF/TCPP Workshop on Parallel and Distributed Computing Education. Sushil K Prasad Georgia State University. Welcome to Boston !. Undergraduate PDC education Review 2 4 submissions 3 -5 reviews for each submission

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EduPar- 13: Third NSF/TCPP Workshop on Parallel and Distributed Computing Education

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  1. EduPar-13: Third NSF/TCPP Workshop on Parallel and Distributed Computing Education Sushil K Prasad Georgia State University

  2. Welcome to Boston! • Undergraduate PDC education • Review • 24 submissions • 3-5 reviews for each submission • Selected 6 regular papers and 7 short papers. • 21 posters – early adopters of the NSF/TCPP PDC curriculum • Thanks to PC • Special Thanks to 4 core members: • AnshulGupta, Arnold Rosenberg, Alan Sussman, and Chip Weems • NEW: Lightning Talks by each early adopters • 5 min/talk, no Q&A • First row seats – reserved for speakers • Webcast to students and colleagues • Posters “manned” during both coffee breaks (and possibly lunch)

  3. Funding/Sponsorships • NSF • NSF/TCPP Curriculum Initiative • Early adopter competitions (stipend, travel) • EduParworkshop series. • CDER center (2012-15) • Intel • international early adopter institutions ((stipend, travel) • nVIDIA • GPU cards to all the 50+ early adopters from Spring'11, Fall'11 and Spring'12 rounds. • IEEE TCPP, IBM • Keynotes in the past

  4. Center for Parallel and Distributed Computing Curriculum Development and Educational Resources (CDER) • Develop PDC core curricula flexible enough for a broad range of programs and institutions; collaborate with all stakeholders • Develop, collect, and synthesize pedagogical and instructional materials for teaching PDC curriculum topics* • Websitesetup • Facilitate access to state-of-the-art hardware and software resources for PDC instruction and training by instructors and students* • Organize Early Adopter Competitions and EduPar workshops, and related events* * Call for participation and contribution

  5. CDER Courseware Website Uploadand Search Course Material • Type: • Slides, Syllabus, Tutorial, Video • Animation, Article, Award, Blog, Book, Competition • Course Template, Course Module, Data • Hardware Access, Software/Tools • Proposal, Report • Courses: • CS1, CS2, Systems, Data Structures and Algorithms, … • NSF/TCPP Topic/Subtopic Classification: • ALGORITHMS • Parallel and Distributed Models and Complexity • Algorithmic Paradigms • Divide & conquer (parallel aspects) • Algorithmic problems • ARCHITECTURE • PROGRAMMING • CROSS-CUTTING

  6. Early Adopter Program • Total 80 institutions worldwide • Spring-11: 16 institutions ; Fall’11: 18; • Spring-12: 21; Fall-12: 25 institutions • Most from US (4 year to research institutions); • some from South America, A few from Europe, fewer from Asia (India, China). • Fall-13 round of competition: Deadline June 30, 2013 • NSF/Intel funded cash awards ranging from $1k-2.5K + certificate • Which course(s) , topics, evaluation plan? • Instructors for core CS/CE courses such as CS1/2, Systems, Data Structures and Algorithms – department-wide multi-course multi-semester adoption preferred • Elective courses; graduate courses, • Computational Science, computational courses of STEM disciplines

  7. Course Templates - Data Structures and Algorithms (DS/A) course - Sampled over 3 courses

  8. Syllabus for a sample Data Structure and Algorithms (Second semester with only programming as their prior background, IIIT Hyderbad, India) • Introduction to data structures (Week 1)             • Introduction to asymptotic analysis – mainly O(.) notation  (Week 2) • Array as a data structure, sorting, parallel sorting, parallel prefix  (Week 3) • Stacks and queues  (Week 4)                          • Linked lists, ideas from list representation and ranking and its difficulty in the parallel setting. (Week 5)  • Trees, applications to evaluation, searching, balanced search trees, scope for parallel operations(Week 6-7) • Graphtraversaltechniques, shortestpaths, spanning trees, solutions in the parallel setting  (Week 8-10) • Advanced data structuressuch as Union-Find, B-trees, Suffix tree, trie(Week 11-13)

  9. CDER Book Project • Lack of suitable textbooks to integrate PDC topics into the core courses • CS1, CS2, Systems, and Data Structures and Algorithms • Part I - For instructors: Basic Concepts and References on what and how to teach • Sample essays on Asymptotics, Scalability, and Synchronization posted • Part 2: For students: Supplemental teaching material for core courses • Invitation to help shape the project and to review/write chapters with authorship for writers • participate in reviewing Early adopter competition and EduPar-14 submissions • Teleconference in June

  10. EduPar-13 Organization/Logistics • Keynote – David Luebke, NVIDIA • Session 1 (2 papers, 4 lightning talks) • AM Break + Posters • Session 2 (3 papers) • Session 3 (5 lightning talks) • Lunch + Posters • Invited Talk – Dan Katz, NSF • Session 4 (3 papers) • Session 5 ((5 lightning talks) • PM Break + Posters • Session 6 (5 papers) • Posters Session

  11. Keynote Democratizing Parallel Computing, Democratizing Education: Teaching a MOOC about GPU computingDavid Luebke, Senior Director of Research, NVIDIA

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