GPU EDUCATORS PROGRAM Joe Bungo, GTC 2016 1 TODAYS COMPUTING - - PowerPoint PPT Presentation

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GPU EDUCATORS PROGRAM Joe Bungo, GTC 2016 1 TODAYS COMPUTING - - PowerPoint PPT Presentation

April 4-7, 2016 | Silicon Valley GPU EDUCATORS PROGRAM Joe Bungo, GTC 2016 1 TODAYS COMPUTING CHALLENGES facing students Computer science and programming are essential skills in STEM Most processors are parallel, from microcontrollers to


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1 April 4-7, 2016 | Silicon Valley

Joe Bungo, GTC 2016

GPU EDUCATORS PROGRAM

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TODAY’S COMPUTING CHALLENGES

Computer science and programming are essential skills in STEM Most processors are parallel, from microcontrollers to supercomputers Industry and scientific discovery requires accelerated computing facing students

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TODAY’S STUDENT HIRING CHALLENGES

“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

  • f parallel and distributed computing in undergraduate computing curricula.”

ACM and IEEE, “Curriculum Guidelines for Undergraduate Degree Programs in CS”, December 2013

facing industry and research

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BARRIERS TO TEACHING

New Technology

TEACHING MATERIAL

TIME

TOOLS AND RESOURCES

FUNDING

BALANCED APPROACH

THEORY vs APPLIED

SUPPORT

EXPERIENCE

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GPU EDUCATORS PROGRAM

Advancing STEM Education with Accelerated Computing

“Teaching resources such as these will be invaluable in helping the next generation of scientists and engineers know how to fully harness the capability of this exciting technology.”

  • Dr. Alan Gray, University of Edinburgh

“The GPU teaching kit covers all aspects of GPU based programming.. the epitome for educators who want to float a course on heterogeneous computing using graphics processors 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
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BREAKING THE TIME BARRIER

Comprehensive materials:

Lecture slides Lecture videos Hands-on labs/solutions Larger coding projects/solutions Quiz/exam questions/solutions

GPU Teaching Kits

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BREAKING COST BARRIERS

GPU HW/SW Textbooks/eBooks GPU Teaching Kits

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QUALITY TEACHING MATERIALS

Different kits for different courses

Accelerated/parallel computing (available now!) Robotics (available now!) Machine/Deep learning Computer vision Computer architecture Computational domain sciences Etc.

Co-developed With Academia

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CLOSING THE EXPERIENCE GAP

Instructor workshops, conferences, sponsorships and exhibits Enablement web pages Getting started guides/videos Email updates Feedback and enhancement requests Supporting Expertise

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GPU Teaching Kit – Accelerated Computing

Available to Instructors Now!

developer.nvidia.com/educators

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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

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Available to Instructors Now! developer.nvidia.com/educators

Robotics Teaching Kit with ‘Jet’

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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

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DEVELOPER.NVIDIA.COM/EDUCATORS

(non-member)

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EDUCATORS PROGRAM REGISTRATION FORM

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DEVELOPER.NVIDIA.COM/EDUCATORS

(member view)

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GPU EDUCATORS PROGRAM MEMBERS AREA

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BITBUCKET REPOSITORIES FOR LABS

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OTHER GTC 2016 SESSIONS

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

GPU Educators Program

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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

teaching GPU Computing to students and researchers

More info at: developer.nvidia.com/academia

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GPU EDUCATORS PROGRAM VS. EDUCATION CENTERS

How do they differ?

Support for new and existing courses Recognition for proven and established courses GPU Teaching Kit Access Additional GPU Donations Greater Discounts on HW, Events, etc. Partnership PR, News Releases, etc. GPU Educators Program GPU Education Center Program

Only well- established courses

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22 April 4-7, 2016 | Silicon Valley

Q/A

developer.nvidia.com/educators