UT Partners With TACC for HPC Expansion

By Nicole Hemsoth

May 5, 2006

The University of Texas System Board of Regents has taken steps to significantly expand world-class research programs and increase external funding of research at its institutions by establishing a three-year partnership with the Texas Advanced Computing Center (TACC) at The University of Texas at Austin.  

The partnership, including Dell Inc. as the leading technology provider, will invest approximately $7 million over three years to substantially increase the capabilities of the “Lonestar” high-performance computing cluster at TACC and make it available to UT System researchers at the 14 other institutions in addition to those at UT Austin. The Board of Regents approved a $3 million investment in equipment to upgrade Lonestar from 1,000 processors with six teraflops peak performance to newer technologies offering at least 1,800 dual-core processors providing at least 35 teraflops of peak performance.

Availability of the TACC Lonestar cluster to researchers at UT institutions is enhanced by the existence of the Lonestar Education and Research Network (LEARN), a fiber optic communications network funded by the Texas legislature in 2004. The LEARN network provides high-speed connectivity among academic institutions as well as to research networks across the country. The network, including TACC, is intended to enhance Texas' research competitiveness and the state's economic competitiveness and to provide state-of-the-art, cost-effective data communications that enable effective education of students around the state.

TACC has emerged in the past five years as a leading center for advanced computing, supporting the national community as a partner in the National Science Foundation's (NSF) TeraGrid, while presenting increased access to national-caliber resources and expertise to The University of Texas at Austin research community. With this partnership, researchers at the other UT System institutions will now benefit from the same computational resources and expertise that have accelerated numerous research programs over the past five years at The University of Texas at Austin.

“This partnership represents a confluence of two major trends of our time: the increasing use of sophisticated information technology and the formation of large collaborations to address major projects,” said Dr. Robert Barnhill, UT System's vice chancellor for research and technology transfer.

Examples of societal problems that can be addressed using advanced computing include predicting weather, modeling oil and water resources, and designing new drugs and treatments. The rise of computing in health-related research is growing rapidly, and UT System includes six health institutions that are home to world-class programs in research areas, including cancer treatment, epidemiology, bioinformatics, and systems biology.

The upgrading of computer hardware will make TACC's computing capabilities more powerful, making it the leading academic high performance computing center in Texas and one of the leading centers in the Unites States. TACC resources are available to all UT Austin researchers and to the national academic community through its participation in TeraGrid.

The primary upgrade will be the Lonestar cluster, which will offer a peak performance of at least 35 trillion operations per second in October 2006. Lonestar will now provide additional capacity and more cost-effective access to HPC resources by other UT System researchers. The upgrade to using new blade technology from Dell will make it more cost effective to upgrade it further when new processors are released by Intel.

TACC will provide access to this increased computing capability for the entire UT System, and will host training sessions for new users. Users from the UT System's nine universities and six health institutions will be able to apply for computer time directly and TACC will provide about 30 million CPU hours over the next three years, plus support.

“TACC looks forward to working with UT System researchers to explore the most challenging and important problems in science and healthcare today and tomorrow,” said Dr. Jay Boisseau, director of TACC. “This partnership will enable the provision of world-class computing resources toward this end, while building relationships that bring together world-class expertise to address these research challenges.”

As demand for supercomputing has increased, TACC has grown from a staff of 15 to more than 60 in four years, and that number is expected to double to 120 over the next four years.

“The initiative approved by the Board of Regents offers an opportunity to raise computational science and engineering at all institutions in the University of Texas System to a new level of competitiveness,” said Dr. Juan Sanchez, vice president for research at The University of Texas at Austin. “This is a great development for the UT System, Texas and the nation.”

Accountability for the UT System's investment, including the allocation of computer and other resources, determining the increase in research results achieved and sustainability for the future, will be directed by a UT System committee chaired by Vice Chancellor Barnhill.

“We see this ongoing relationship between TACC and the UT System providing us a continuous, persistent advantage to researchers across our all of our campuses,” Barnhill said. “TACC will continue upgrading its HPC capability and thus be able to offer continuous scientific and unique capabilities and competitive advantages for System researchers and faculty as they compete nationally for more externally funded research. We see tremendous opportunities for our ongoing efforts in biomedical research and also tremendous emerging needs and opportunities for HPC applications in proteomics, rational drug design, systems biology and bioinformatics.”

—–

Source: Texas Advanced Computing Center (TACC)

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire