April 4-7, 2016 | Silicon Valley GPU EDUCATORS PROGRAM Joe Bungo, GTC 2016 1
TODAY’S COMPUTING CHALLENGES facing students Computer science and programming are essential skills in STEM Most processors are parallel, from microcontrollers to supercomputers Industry and scientific discovery requires accelerated computing 2
TODAY’S STUDENT HIRING CHALLENGES facing industry and research “The skills gap is growing. Demand for automation talent outweighs supply..over the next decade..3.4 million jobs, but only 1.4 million qualified workers.” Robotics Industries Association (RIA), “ Closing the Skills Gap in Automation: A Call for Action”, April 2015 “Globally, demand for data scientists is projected to exceed supply by more than 50 percent by 2018.” TechCrunch, “ How To Stem The Global Shortage Of Data Scientists”, December 2015 “As multi -processor computing continues to grow in the coming years, so too will the role of parallel and distributed computing in undergraduate computing curricula.” ACM and IEEE, “ Curriculum Guidelines for Undergraduate Degree Programs in CS”, December 2013 3
BARRIERS TO TEACHING New Technology TIME FUNDING TEACHING MATERIAL TOOLS AND RESOURCES THEORY vs APPLIED EXPERIENCE BALANCED APPROACH SUPPORT 4
GPU EDUCATORS PROGRAM Advancing STEM Education with Accelerated Computing “The GPU teaching kit covers all aspects of GPU based programming.. “Teaching resources such as these will be invaluable in helping the epitome for educators who want the next generation of scientists and engineers know how to to float a course on heterogeneous fully harness the capability of this exciting technology.” computing using graphics processors Dr. Alan Gray, University of Edinburgh as accelerators.” Dr. Tajendra Singh, UCLA “The Teaching Kit covers all the needed content of a GPU/computing course.. The projects and quiz designs are handy, saving a lot of time and effort. Moreover, the whole structure is well organized to lead students step by step in CUDA programming. I highly recommend integrating it into a related syllabus .” Dr. Bin Zhou, University of Science and Technology of China 5
BREAKING THE TIME BARRIER GPU Teaching Kits Comprehensive materials: Lecture slides Lecture videos Hands-on labs/solutions Larger coding projects/solutions Quiz/exam questions/solutions 6
BREAKING COST BARRIERS GPU Teaching Kits GPU HW/SW Textbooks/eBooks 7
QUALITY TEACHING MATERIALS Co-developed With Academia Different kits for different courses Accelerated/parallel computing (available now!) Robotics (available now!) Machine/Deep learning Computer vision Computer architecture Computational domain sciences Etc. 8
CLOSING THE EXPERIENCE GAP Supporting Expertise Instructor workshops, conferences, sponsorships and exhibits Enablement web pages Getting started guides/videos Email updates Feedback and enhancement requests 9
GPU Teaching Kit – Accelerated Computing Available to Instructors Now! developer.nvidia.com/educators 10
GPU TEACHING KIT – ACCELERATED COMPUTING Module Goals Learn to program heterogeneous parallel computing systems High performance and energy-efficiency Functionality and maintainability Scalability across future generations Portability across vendor devices Technical subjects Parallel programming API, tools and techniques Principles and patterns of parallel algorithms Processor architecture features and constraints 11
Robotics Teaching Kit with ‘Jet’ Available to Instructors Now! developer.nvidia.com/educators 12
ROBOTICS TEACHING KIT WITH JET Module Goals Learn interdisciplinary, GPU-accelerated, autonomous Robotics Technical subjects Sensors Computer Vision Machine Learning Dead Reckoning Path Planning Localization Control Obstacle Avoidance 13
DEVELOPER.NVIDIA.COM/EDUCATORS (non-member) 14
EDUCATORS PROGRAM REGISTRATION FORM 15
DEVELOPER.NVIDIA.COM/EDUCATORS (member view) 16
GPU EDUCATORS PROGRAM MEMBERS AREA 17
BITBUCKET REPOSITORIES FOR LABS 18
OTHER GTC 2016 SESSIONS GPU Educators Program S6729 - Teach Robotics with the New Jetson™ GPU Teaching Kit for Educators Day: Monday, 04/04 Time: 14:30 - 15:20 Location: Room 212A L6113 - Teach GPU Accelerating Computing: Hands-on with NVIDIA Teaching Kit for Educators Day: Tuesday, 04/05 Time: 13:00 - 14:30 Location: Room 210B 19
GPU CENTER PROGRAMS Advancing Accelerated Computing With Academic Partnerships Collaboration 23 World renowned universities collaborating with NVIDIA to advance parallel computing and its applications Research 209 World-class research institutes leveraging GPU Computing & NVIDIA for breakthroughs in research Education 328 Distinguished academic institutes More info at: developer.nvidia.com/academia teaching GPU Computing to students and researchers 20
GPU EDUCATORS PROGRAM VS. EDUCATION CENTERS How do they differ? Recognition Support for Greater Partnership for proven GPU Additional new and Discounts on PR, News and Teaching Kit GPU existing HW, Events, Releases, established Access Donations courses etc. etc. courses GPU Educators Program GPU Only well- Education established courses Center Program 21
April 4-7, 2016 | Silicon Valley Q/A developer.nvidia.com/educators 22
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