University Teams To Vie for Supercomputing Championship

Eleven university-based teams from around the world will compete against each other this summer to build the best cluster of supercomputers.

The teams were recently announced for the HPCAC-ISC 2015 Student Cluster Competition to be held during the ISC 2015 conference July 13-15 in Frankfurt, Germany. Formerly known at the International Supercomputing Conference, the competition at ISC 2015 will be held in conjunction with the High Performance Computing Advisory Council (HPCAC).

In a real-time challenge, the teams of six undergraduate students each will build clusters of computers that they have designed on the trade show's exhibit floor and attempt to demonstrate the greatest performance with a series of predetermined challenges and benchmarks.

The 11 teams include:

Teams will prepare in advance of the July competition by consulting with instructors and computer vendors to design and build the computer clusters using guidelines that call for the use of commercially available components not to exceed certain power limits. A predetermined set of high performance computer applications will be required.

"This is an opportunity to showcase the world's brightest computer science students' expertise in a friendly, yet spirited, competition," said ISC Group Managing Director Martin Meuer. "We wish all the teams good luck."

About the Author

Michael Hart is a Los Angeles-based freelance writer and the former executive editor of THE Journal.

Featured

  • Abstract tech background made of printed circuit board

    University of Kentucky Initiative to Advance AI Efforts Across the Campus and State

    The University of Kentucky has launched CATS AI (Commonwealth AI Transdisciplinary Strategy), a campuswide effort aimed at advancing AI across the institution's 17 colleges, libraries, research centers, and institutes; its academic and healthcare enterprises; and throughout the state.

  • large group of college students sitting on an academic quad

    Student Readiness: Learning to Learn

    Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge from the university to the workplace. Here, we ask Loble what readiness is and how to offer students the ability to 'learn to learn'.

  • top-down view of a collaborative team working on AI technology development

    1EdTech Launches K-20 Collaboration to Shape Responsible AI in Education

    The 1EdTech Consortium recently announced plans to lead a cross-sector collaboration "to define how AI can responsibly and effectively support teaching and learning."

  • abstract coding

    Anthropic's New AI Model Targets Coding, Enterprise Work

    Anthropic has released Claude Opus 4.6, introducing a million-token context window and automated agent coordination features as the AI company seeks to expand beyond software development into broader enterprise applications.