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Exploring Parallelism with Raspberry Pi and Nvidia Jetson Nano

Exploring Parallelism with Raspberry Pi and Nvidia Jetson Nano

The free lunch provided by Moore's Law is running out. Still, customers will always want more performance. Parallelism (especially with GPUs) clears a path for software developers to deliver more. This talk offers an exploration of parallelism and artificial intelligence on GPUs with open source tools like Python and Clojure. Audience members will learn how GPU acceleration can boost the performance of AI applications. And everyone will learn how to get up and running with an inexpensive 128-core GPU device, the Nvidia Jetson Nano.

Ray Hightower

August 16, 2019
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  7. Concurrency At least two threads are making progress. Parallelism At

    least two threads are executing simultaneously. Oracle Multithreaded Programming Guide http://docs.oracle.com/cd/E19455-01/806-5257/6je9h032b/index.html vs.
  8. Parallelism Keyboard Mouse Disk Time ======> Concurrency Task Switching K

    M D K M D K M D K M D K M D K M D Time ======>
  9. RPi Summary •Assemble the cluster. •Communicate via mpi4py. •Assign a

    portion of the problem to each node. •Gather the results.
  10. Mapping complicated algorithms to massively parallel hardware architectures is considered

    a non-trivial problem. - Andreas Olofsson, CEO
 Adapteva
  11. Mapping complicated algorithms to massively parallel hardware architectures is considered

    a non-trivial problem. - Andreas Olofsson, CEO
 Adapteva It’s hard.
  12. Mapping complicated algorithms to massively parallel hardware architectures is considered

    a non-trivial problem. - Andreas Olofsson, CEO
 Adapteva It’s hard. And it’s worth it.
  13. # of Nodes Total Render Time Power Cost (5yrs) System

    Cost CPU - Dual Skylake 25 38 hours $70k $250k Nvidia RTX Server 1 6 hours $10k $30k “Pixar artists already rely on Nvidia ray tracing, and RTX more than doubles the performance they will see. We’re excited to use RTX on our upcoming films.” -Steve May, CTO, Pixar From Jensen Huang’s keynote at Nvidia GTC 2019
  14. In business, there is nothing more valuable than a technical

    advantage your competitors don’t understand. -Paul Graham http://www.paulgraham.com/avg.html