• Home
  • News
  • Tutorials
  • Analysis
  • About
  • Contact

TechEnablement

Education, Planning, Analysis, Code

  • CUDA
    • News
    • Tutorials
    • CUDA Study Guide
  • OpenACC
    • News
    • Tutorials
    • OpenACC Study Guide
  • Xeon Phi
    • News
    • Tutorials
    • Intel Xeon Phi Study Guide
  • OpenCL
    • News
    • Tutorials
    • OpenCL Study Guide
  • Web/Cloud
    • News
    • Tutorials
You are here: Home / Featured article / Intel Knights Landing: Claimed 4x An NVIDIA K40 (on some applications)

Intel Knights Landing: Claimed 4x An NVIDIA K40 (on some applications)

June 24, 2014 by Rob Farber Leave a Comment

Joe Curley (Director of Marketing in the Technical Computing Group at Intel Corporation) just completed his webinar on BrightTalk, “The Faster Path to Discovery: New Details on the Intel® Xeon Phi™ Product Family” that disclosed new details on the upcoming Knights Landing massively=parallel chip including a claimed 4x performance improvement over the NVIDIA K40 on some applications. The Intel Knights Landing co-processor will be used in the upcoming NERSC Cori leadership class supercomputer. Following is a short summary of the presentation. Click on the webinar link and register to view the full presentation and Q&A.

The Knights Landing processor utilizes modified Silvermont cores that also power Intel’s next generation Atom processors. The updated KNL cores are manufactured on a 14nm die process. It was hinted during the Q&A that additional features have been included in Knights Landing due to the revised manufacturing process.

Knights Landing details

This will be the first Intel Xeon Phi to feature stacked memory that provides a 5x improvement over DDR4 memory bandwidth and a nice increase in memory capacity.

Screenshot from 2014-06-24 13:52:14

More information about Micron”s MCDRAM is covered by Rich Brueckner at insideHPC, “Slidecast: Micron HMC Memory Technology to Enhance Knights Landing”

Intel claims that KNL will have 4x the performance of an NVIDIA K40 on some applications. (See Intel provided link.)
Screenshot from 2014-06-24 12:48:26

Claimed 4x the performance of an NVIDIA K40

Pricing should be aggressive.

Screenshot from 2014-06-24 12:50:24
Joe Curley gave an interesting answer during the Q&A session when asked if programmers should still consider using offload mode for programming. Since KNL is a bootable device (meaning it can be booted and used as an SMP system) – just like the current generation Knights Corner processors, Joe stated that one can favor utilizing the Xeon/KNL hybrid systems via a network (presumably MPI) model rather than by offload programming. This is consistent with Intel’s view that traditional programming models can enter the exascale era.
Screenshot from 2014-06-24 12:49:36

 

Share this:

  • Twitter

Filed Under: Featured article, Featured news, News, News, Xeon Phi Tagged With: HPC, Intel, Intel Xeon Phi, NVIDIA, x86

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Tell us you were here

Recent Posts

Farewell to a Familiar HPC Friend

May 27, 2020 By Rob Farber Leave a Comment

TechEnablement Blog Sunset or Sunrise?

February 12, 2020 By admin Leave a Comment

The cornerstone is laid – NVIDIA acquires ARM

September 13, 2020 By Rob Farber Leave a Comment

Third-Party Use Cases Illustrate the Success of CPU-based Visualization

April 14, 2018 By admin Leave a Comment

More Tutorials

Learn how to program IBM’s ‘Deep-Learning’ SyNAPSE chip

February 5, 2016 By Rob Farber Leave a Comment

Free Intermediate-Level Deep-Learning Course by Google

January 27, 2016 By Rob Farber Leave a Comment

Intel tutorial shows how to view OpenCL assembly code

January 25, 2016 By Rob Farber Leave a Comment

More Posts from this Category

Top Posts & Pages

  • Depth-Categorizing GPU-Accelerated Deep Neural Networks Perform Fast Semantic Segmentation of RGB-D Scenes
  • Plesiochronous (Loosely Synchronous) Phasing Barriers To Avoid Thread Inefficiencies
  • Guide to Get Ubuntu 14.10 Running Natively on Nvidia Shield Tablet
  • NVIDIA GTC 2015 keynote - Near-term Roadmap is Deep-Learning
  • Free Online OpenACC Course Starting Oct. 1 2015

Archives

© 2026 · techenablement.com