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ACM Principles and Practice of Parallel Programming, PPoPP, 2006 Panel Presentations

Parallel Processing is Mainstream : Multi-core Processor Chips. ACM Principles and Practice of Parallel Programming, PPoPP, 2006 Panel Presentations. ACM PPoPP 2006 Panel Presentations. ACM PPoPP 2006 Panel Presentations. ACM PPoPP 2006 Panel Presentations. ACM PPoPP 2006 Panel Presentations.

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ACM Principles and Practice of Parallel Programming, PPoPP, 2006 Panel Presentations

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  1. Parallel Processing is Mainstream :Multi-core Processor Chips ACM Principles and Practice of Parallel Programming, PPoPP, 2006 Panel Presentations

  2. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

  3. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

  4. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

  5. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

  6. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

  7. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

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  10. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

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  20. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

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  22. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

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  24. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

  25. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

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  30. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

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  41. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

  42. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

  43. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

  44. ACM PPoPP 2006 Panel Presentations CS 6143 Spring 2014

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  48. How can parallel processing be mainstream ? • Slide 19 by Luddy Harrison • Rules of composition are needed so that • There is independence between software components and their deployment • Composing software components ? • In hardware this is done now ! • How can composing be implemented in software ? • Communication ≡ computation ? • A new computational method ? • A new hardware technology leading to a new idea ? • All of the above ? • Is composing enough ? • Parallel processing is relatively simplenow with 4 to 10 cores ! • But, memory wall, soft errors, defective chips and other unforeseen problems can make parallel processing harder • On the other hand, programmable chips, nanotechnology, bio-inspired computing paradigms and other unforeseen new technologies can help parallel processing Professor’s Comments CS 6143 Spring 2014

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