WAYNE, PA — The Texas Advanced Computing Center has formally accepted a networking upgrade for its Stampede3 supercomputer that improved performance by as much as 71% in testing, a move aimed at accelerating scientific research for thousands of users across the United States.
The upgrade deploys Cornelis’ CN5000 networking technology across more than 600 compute nodes in a key production partition of Stampede3, enhancing the system’s ability to handle increasingly complex simulations and data-intensive workloads.
Stampede3 serves more than 5,000 active researchers annually and supports applications ranging from weather forecasting and engineering simulations to computational science and data analytics.
“Researchers rely on Stampede3 to support a wide range of scientific discovery efforts,” Dan Stanzione, executive director of TACC, said in a statement. “The successful acceptance of the CN5000 upgrade strengthens an important production partition within the system and helps ensure researchers have access to the performance needed for increasingly demanding workloads.”
The deployment comes as research institutions face growing computational demands from larger datasets and increasingly sophisticated modeling applications, making data movement between compute resources a critical factor in overall system performance.
Testing using the widely used Weather Research and Forecasting model showed performance improvements ranging from 53% to 71% across multiple scaling points, according to Cornelis.
The gains could allow researchers to complete simulations more quickly and make more efficient use of shared computing resources, particularly in fields such as weather prediction, engineering and other large-scale scientific applications.
“TACC has long been one of the most respected research computing organizations in the world, and we’re proud to continue supporting its mission,” Cornelis Chief Executive Lisa Spelman said in a statement.
The acceptance of the upgrade further expands Cornelis’ role in supporting one of the nation’s leading academic supercomputing centers and highlights the increasing importance of high-speed networking infrastructure in scientific computing environments.
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