Automatic Parallelization

This video program is a part of the Premium packages:

Automatic Parallelization


  • IEEE MemberUS $95.00
  • Society MemberUS $95.00
  • IEEE Student MemberUS $95.00
  • Non-IEEE MemberUS $125.00
Purchase

  • IEEE MemberUS $495.00
  • Society MemberUS $495.00
  • IEEE Student MemberUS $495.00
  • Non-IEEE MemberUS $695.00
Purchase

Automatic Parallelization

0 views
  • Share
Create Account or Sign In to post comments
This video lecture series features some of the most advanced parallelization, vectorization, and power-reduction technologies used in industry applications for multicore processors with accelerators. The talks explore applications in supercomputing, cloud computing, cluster computing, big data, automobiles from ECU to self-driving cars, multimedia, smartphones, medical image processing, base band communication, and much more. Discover how these experts utilize innovative methods and techniques to improve performance and reduce applications? power consumption on multicore processors, as well as how these innovations help significantly reduce costs and time while improving reliability in parallel programs for multicores. The material presented in this series is very useful in reinforcing the concepts presented in lectures on compilers, architectures, parallel programming, and embedded systems. Most important of all, this lecture series offers educators and students a window into the minds of some of the most accomplished experts in the field.
This video lecture series features some of the most advanced parallelization, vectorization, and power-reduction technologies used in industry applications for multicore processors with accelerators. The talks explore applications in supercomputing, cloud computing, cluster computing, big data, automobiles from ECU to self-driving cars, multimedia, smartphones, medical image processing, base band communication, and much more. Discover how these experts utilize innovative methods and techniques to improve performance and reduce applications? power consumption on multicore processors, as well as how these innovations help significantly reduce costs and time while improving reliability in parallel programs for multicores. The material presented in this series is very useful in reinforcing the concepts presented in lectures on compilers, architectures, parallel programming, and embedded systems. Most important of all, this lecture series offers educators and students a window into the minds of some of the most accomplished experts in the field.