U Michigan Designs Data-Centric Supercomputer

Researchers at the University of Michigan (U-M), in collaboration with IBM, have designed a high-performance computing (HPC) cluster with the goal of advancing predictive modeling in computational science.

The HPC cluster, named ConFlux, is hosted at U-M's Center for Data-Driven Computational Physics and enables "large scale data-driven modeling of multiscale physical systems," according to information on the center's site. This type of data modeling is very challenging and requires HPC applications running on external clusters to connect with large data sets at run time.

"The recent acceleration in computational power and measurement resolution has made possible the availability of extreme scale simulations and data sets," said Karthik Duraisamy, director of U-M's Center for Data-Driven Computational Physics, in a prepared statement. "ConFlux allows us to bring together large scale scientific computing and machine learning for the first time to accomplish research that was previously impossible."

Some of the large-scale, data-driven research projects that will use ConFlux include:

  • A collaboration with NASA to use cognitive techniques to simulate turbulence around aircraft and rocket engines;
  • A project for the National Institutes of Health that combines noninvasive imaging with a physical model of blood flow to help doctors estimate artery stiffness;
  • Studying how clouds interact with atmospheric circulation in order to better understand climate science;
  • Research into the origins of the universe and stellar evolution; and
  • Predictions of the behavior of biologically inspired materials.

ConFlux was funded by a $2.4 million grant from the National Science Foundation and an additional $1.04 million from the University of Michigan.

IBM is providing servers and software solutions for ConFlux. Several members of the OpenPower Foundation, an open, collaborative technical community based on IBM'S Power architecture, also contributed to its development. 

About the Author

Leila Meyer is a technology writer based in British Columbia. She can be reached at [email protected].

Featured

  • SXSW EDU

    Explore the Future of AI in Higher Ed at SXSW EDU 2025

    This March 3-6 in Austin, TX, the SXSW EDU Conference & Festival celebrates its 15th year of exploring education's most critical issues and providing a forum for creativity, innovation, and expression.

  • man working on laptop outdoors

    Digital Leadership Must-Haves for 2025: A CDO's Picks

    Now that he's more than a year and a half into his chief digital officer role at NJIT, we've asked Ed Wozencroft to reflect on his areas of concentration: What work must digital leaders "own" in 2025?

  • From Fire TV to Signage Stick: University of Utah's Digital Signage Evolution

    Jake Sorensen, who oversees sponsorship and advertising and Student Media in Auxiliary Business Development at the University of Utah, has navigated the digital signage landscape for nearly 15 years. He was managing hundreds of devices on campus that were incompatible with digital signage requirements and needed a solution that was reliable and lowered labor costs. The Amazon Signage Stick, specifically engineered for digital signage applications, gave him the stability and design functionality the University of Utah needed, along with the assurance of long-term support.

  • digital artwork of glowing, interconnected neural-like shapes on a gradient background of deep blue and vibrant purple

    Google Announces Upgrade to Flagship Gemini AI Platform, Enhancing Multimodal Capabilities

    Google has launched Gemini 2.0, designed to empower enterprise users and developers with advanced multimodal capabilities and enhanced performance.