(TNS) – The Texas Advanced Computing Center at the University of Texas is designing and deploying a new supercomputer that, when deployed, will be one of the fastest of any American university.
The new supercomputer, dubbed Lonestar6, will run on a Dell Technologies system and will be designed and operated by the Texas Advanced Computing Center at the JJ Pickle research campus.
“Opening up TACC’s world-class IT ecosystem will benefit many students and academics in the UT system,” said James Milliken, Chancellor of UT. “We are grateful for the Board of Regents’ continued investment, which will allow UT to maintain its leadership in this critical technological area and attract the best faculty in science and engineering.”
Once Lonestar6 is fully operational in the fall, it will be the seventh fastest supercomputer at a U.S. university and will be three times more powerful than the Lonestar5 system it replaces, according to the university. A person would have to do a calculation every second for 100 million years to match what Lonestar6 will calculate in just one second.
The advanced computer system is expected to help accelerate and stimulate research to enable academics across Texas to compute cutting-edge research in science and engineering. For example, the new system will help doctors design patient-specific cancer treatments, allow astronomers to scan deeper into space, and help meteorologists predict climate change.
The system consists of more than 800 Dell EMC PowerEdge C6525 servers with 3rd generation AMD Epyc processors.
Rajesh Pohani, vice president of PowerEdge, Core Compute and High Performance Computing for Dell Technologies, said the system will be a valuable research tool for the Texas academic research community.
“With Dell EMC PowerEdge servers, researchers will be able to tackle difficult and intense workloads to make discoveries that will advance society and our understanding of the world around us,” Pohani said in a written statement. .
The addition comes shortly after TACC celebrated its 20th anniversary in September. The center now has nearly 200 employees and houses more than a dozen advanced computer systems. This includes two other of the most powerful university supercomputers in the United States: Frontera, which is the 10th fastest in the world; and Stampede2, the fastest 35t. Both systems use products from Dell Technologies.
TACC is supported by the University of Texas Research Cyber Infrastructure Initiative, which has helped provide computing and data resources at no cost to Texan scientists, students, academics, and engineers at the University of Texas’s 13 institutions in the system. Texas. The initiative will also be expanded to support research on artificial intelligence.
In total, the UT Research Cyberinfrastructure initiative has supported more than 7,000 researchers and students on more than 2,300 projects, using 543 million hours of computing time. He has also been able to contribute to important scientific and societal impacts, including COVID-19 research, hurricane forecasting, wind power design, and dark power data. Last year at TACC alone, UT researchers cited TACC assistance in 147 papers.
Last year, the University of Texas board of trustees approved $ 8.4 million to help support the University of Texas research cyber infrastructure initiative. This is in addition to $ 23 million in funds to increase high performance connectivity and compute capacity in 2010, and additional funds in 2015 specifically allocated to improve connectivity and deploy a new generation of Lonestar and Corral systems in partnership with Texas A&M and Texas Tech.
Several Texas academic institutions also contributed $ 2 million to the project, including the Oden Institute for Computational Engineering and Sciences, the Center for Space Research (both based at UT Austin), Texas A&M University, Texas Tech University and the University of North Texas system.
The funding will also support a new high-performance data storage and archiving system called Corral, which will provide access to TACC’s Longhorn system, used for artificial intelligence and other GPU-accelerated issues.
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