• 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 / CUDA / South Africa Team Wins Their Second Student Supercomputing Competition At ISC14

South Africa Team Wins Their Second Student Supercomputing Competition At ISC14

June 26, 2014 by Rob Farber Leave a Comment

Congratulations to the South African students who won their second ISC14 Student Supercomputing Competition! In 2013 the South African students were considered the underdog due to their youth and lack of competitive experience. This year the team from the South African Centre for High Performance Computing  won the overall 2014 competition. To win, students have to build a computer cluster, or supercomputer that stays within a defined cash and power budget. Further, the winning student team must achieve the highest aggregate score across a suite of benchmarks, and perform well in an interview by the competition judges.

(Author’s note: this article has been corrected based on information provided by Eugene de Beste, a participant on the South African team, from an earlier version that incorrectly attributed the 10.14 TF/s linpack result to South Africa. Apologies to the UK team and thank you to Eugene for the correction!)

The winning team at the International Supercomputing Conference’s student cluster competition.

The winning team at the International Supercomputing Conference’s student cluster competition.

This was a quite a competition as the UK student team achieved a record 10.14 TF/s on a Tesla K40 GPU-powered system — the first time any student cluster team has hit this mark within the competition’s three-kilowatt power budget. The previous record of 9.27 teraflops was hit just a few months ago by China’s Sun Yat-sen University at the Asia student competition, ASC14, also with GPU accelerators.

ISC14 Student teams

The other teams that participated in the ISC14 competition came from South Korea, Massachusetts Institute of Technology, University of Edinburgh, University of Hamburg, and three universities in China.

South African team members:

  • Eugene de Beste – University of the Western Cape
  • Nicole Thomas – University of the Western Cape
  • Saeed Natha – University of the Western Cape
  • Warren Jacobus – University of the Western Cape
  • Pieter Malan – University of Stellenbosch
  • Ellen Nxala – University of Fort Hare

Team Supervisors:

  • David Macleod – CHPC
  • Vernon Nichols – DELL
  • Nicholas Thorne – CHPC

For further information, listen to the podcast by 567 CapeTalk’s Kieno Kammies as he spoke with Dr Happy Sithole, Director at the Centre for High Performance Computing (CHPC) and David Macleod, Student Cluster Competition Project Manager and Senior Engineer for the CHPC.

 

Share this:

  • Twitter

Filed Under: CUDA, Featured news, News, News Tagged With: GPU, HPC, NVIDIA, Nvidia Tesla

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

  • MultiOS Gaming, Media, and OpenCL Using XenGT Virtual Machines On Shared Intel GPUs
  • High Performance Ray Tracing With Embree On Intel Xeon Phi
  • Intel Xeon Phi Study Guide
  • Free Intermediate-Level Deep-Learning Course by Google

Archives

© 2025 · techenablement.com