• 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 / OpenCL Programmed FPGAs Claim a 3X Performance-to-Power Advantage at Microsoft

OpenCL Programmed FPGAs Claim a 3X Performance-to-Power Advantage at Microsoft

February 24, 2015 by Rob Farber Leave a Comment

The Microsoft white paper, “Accelerating Deep Convolutional Neural Networks Using Specialized Hardware” describes an OpenCL programmed implementation of Convolutional Neural Networks (CNNs) that touts a conservative estimate of 3x the performance-to-power advantage over NVIDIA GPUs when running on new FPGA hardware.

Comparison of Image Classification Throughput and Power. (Image courtesy Microsoft)

 (Image courtesy Microsoft)

Doug Berger posted on the Inside Microsoft Research Blog that Microsoft expects “a throughput increase of 70% with comparable energy used” when using the new Arria 10 FPGAs from Altera. CNN based techniques are widely used to push the boundaries of computer vision processing, such as image recognition, and are used by the Bing search engine.

Doug Burger

Doug Berger, Director Client & Cloud Apps

 

 

Share this:

  • Twitter

Filed Under: Featured article, Featured news, News, News, OpenCL Tagged With: FPGA, OpenCL

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Your email address will not be published.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

  • DARPA Goals, Requirements, and History of the SyNAPSE Project
  • Recovering Speech from a Potato-chip Bag Viewed Through Soundproof Glass - Even With Commodity Cameras!
  • Paper Compares AMD, NVIDIA, Intel Xeon Phi CFD Turbulent Flow Mesh Performance Using OpenMP and OpenCL
  • Lustre Delivers 10x the Bandwidth of NFS on Intel Xeon Phi
  • South Africa Team Wins Their Second Student Supercomputing Competition At ISC14

Archives

© 2025 · techenablement.com