Scalable Parallel Programming with CUDA on Manycore GPUs

February 27, 2008 lecture by John Nickolls for the Stanford University Computer Systems Colloquium (EE 380). John Nickolls from NVIDIA talks about scalable parallel programming with a new language developed by NVIDIA, CUDA. NVIDIA’s programming of their graphics processing unit in parallel allows for the dissection of large data sets into smaller sets, each to be handled by separate processors. This significantly increases the performance and handling of processing intensive application. EE 380 | Computer Systems Colloquium: Stanford Computer Systems Laboratory: Stanford Center for Professional Development: Stanford University Channel on YouTube:

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16 Responses to Scalable Parallel Programming with CUDA on Manycore GPUs

  1. Antarktida1337 says:

    240p? Marty, get ready for we aregoing Back to the Past

  2. manchikutti says:

    very bad resolution

  3. xBloodXGusherx says:

    Dam this is some intense sheeet

  4. lovelplants says:

    i wanna see more examples..

  5. thegreeensky says:

    very interesting.. nice video…

  6. adelle0001 says:

    nice one! thanks for this video!

  7. potpie921 says:


  8. grunder20 says:

    loud voice. very clear presentation.

  9. thebigfootme says:

    too long but very interesting!

  10. agapitoflores001 says:

    I wanna learn how these stuff works

  11. kluikens says:

    check out the videos through itunes — much higher resolution.

  12. maciejwrotek says:

    how many transistors has one core in gpu ?

  13. mszigetihu says:

    Seriously, Standford can’t buy a fucking camera with higher resolution? This is unwatchable in full screen, you can’t read the stuff.

  14. MrNightLifeLover says:

    higher quality plz

  15. R3leaZ says:

    OMG!!! 1 hour and 20 minutes!!!!

  16. jal00n says:

    0:40 to jump to start.

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