TACC Introduces Lonestar5 at ISC

July 15, 2015

July 15 — TACC is keeping the Lonestar supercomputer legacy alive and well. The center has announced the deployment of Lonestar5 in conjunction with Cray Inc. and Intel Inc., the second petaflop system deployed at the Texas Advanced Computing Center (TACC) at The University of Texas at Austin’s J.J. Pickle Research Campus.

As with its predecessor, Lonestar5 is funded through a statewide effort, including UT System, Texas Tech, Texas A&M, and the Institute for Computational Engineering and Sciences and the Center for Space Research at The University of Texas at Austin.

“Lonestar5 will be far more powerful than its predecessor,” said Bill Barth, TACC’s director of High Performance Computing. “With 50 percent more cores than Lonestar4 and about four times the performance, we will keep this capability going. Our systems are incredibly productive, and we expect demand for Lonestar5 to be very high. As a leading national computing resource center, we are seeing more demand than we can possibly meet.”

Academic researchers in Austin and across Texas will have increased potential for knowledge discovery in all disciplines with Lonestar5, especially as TACC continues to support the growth of Health Insurance Portability and Accountability Act (HIPAA) and Federal Information Security Management Act (FISMA) datasets. In addition, Lonestar5 will continue to be instrumental in bringing new members to the center’s industrial affiliates program.

The new Cray XC40 supercomputer, which contains more than 30,000 Intel® Xeon® processing cores from the E5-2600 v3 product family, will provide a peak performance of 1.25 petaflops. The system will continue to serve its mainstay user communities with an emphasis on addressing a wide variety of research areas.

“We’re looking forward to renewing our relationship with Cray, one of the leading companies in the supercomputing sector,” Barth said. “We value having a diversity of high performance computing architectures and vendors — Lonestar5 is a nice complement to some of our other systems.”

“Both TACC and Cray share a common vision for how supercomputers can have profound impacts on our daily lives by powering scientific discoveries that change the world,” said Peter Ungaro, president and CEO of Cray. “This belief in the power of supercomputing is what drives us to provide our customers with advanced, innovative technologies for taking on the most difficult challenges. We are very excited that TACC has added a Cray to the Lonestar program, and we look forward to giving their users a powerful tool for achieving scientific breakthroughs.”

“Intel is pleased to continue our commitment and support for academic research computing with the Texas Advanced Computing Center and the Lonestar supercomputer,” said Charlie Wuischpard, vice president of Data Center Group and general manager of Workstations and HPC at Intel.

“The new Lonestar5 machine will provide increased research capacity for academic researchers and scientists across the many domains of open science. With Intel’s leadership class technologies coupled with TACC’s leading user support services, Lonestar5 will impact new scientific discovery and improve time to result for academic researchers.”

Lonestar5 will continue to serve as the primary high performance computing resource in the UT Research Cyberinfrastructure (UTRC) initiative. Sponsored by The University of Texas System, UTRC provides a combination of advanced computational systems, a large data storage opportunity, and high bandwidth data access. UTRC enables researchers within all 15 UT System institutions to collaborate with each other and compete at the forefront of science and discovery.

“Lonestar5 will perhaps be the primary computing system for health researchers for the Dell Medical School in 2016,” Barth said. “We will add new users across the state through our ability to support private health data.”

“It is exciting to know that we will be able to continue working with user services organizations at Texas A&M University, Texas Tech University, and UT Systems institutions in bringing this resource to bear on research projects across the state,” said Chris Hempel, TACC’s director of User Services. “This partnership enables researchers across the state access to computing resources that complement local institutional resources and encourages state-wide collaborative activities.”

With 24 processing cores per compute node, Lonestar5 follows the trend of more cores per node that the industry sees in every generation of microprocessors. This continues to be a challenge for many applications as they attempt to take advantage of more cores and increased memory per node. Lonestar5 will also share a work file system with TACC’s StampedeMaverick and Wrangler systems, all integrated to support simulation data, big data applications, and visualization data for users at TACC.

System Specifications

  • 1252 compute nodes, each with two 12-core Intel Xeon processing cores for a total of 30,048 compute cores
  • 2 large memory compute nodes, each with 1TB memory
  • 8 large memory compute nodes, each with 512GB memory
  • 1.2PB DataDirect Networks storage system
  • Cray-developed Aries interconnect

Source: 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!

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

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from its predecessors, including the red-hot H100 and A100 GPUs. Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. While Nvidia may not spring to mind when thinking of the quant Read more…

2024 Winter Classic: Meet the HPE Mentors

March 18, 2024

The latest installment of the 2024 Winter Classic Studio Update Show features our interview with the HPE mentor team who introduced our student teams to the joys (and potential sorrows) of the HPL (LINPACK) and accompany Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the field was normalized for boys in 1969 when the Apollo 11 missi Read more…

Apple Buys DarwinAI Deepening its AI Push According to Report

March 14, 2024

Apple has purchased Canadian AI startup DarwinAI according to a Bloomberg report today. Apparently the deal was done early this year but still hasn’t been publicly announced according to the report. Apple is preparing Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimization algorithms to iteratively refine their parameters until Read more…

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

March 18, 2024

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

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the fi Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimizat Read more…

PASQAL Issues Roadmap to 10,000 Qubits in 2026 and Fault Tolerance in 2028

March 13, 2024

Paris-based PASQAL, a developer of neutral atom-based quantum computers, yesterday issued a roadmap for delivering systems with 10,000 physical qubits in 2026 a Read more…

India Is an AI Powerhouse Waiting to Happen, but Challenges Await

March 12, 2024

The Indian government is pushing full speed ahead to make the country an attractive technology base, especially in the hot fields of AI and semiconductors, but Read more…

Charles Tahan Exits National Quantum Coordination Office

March 12, 2024

(March 1, 2024) My first official day at the White House Office of Science and Technology Policy (OSTP) was June 15, 2020, during the depths of the COVID-19 loc Read more…

AI Bias In the Spotlight On International Women’s Day

March 11, 2024

What impact does AI bias have on women and girls? What can people do to increase female participation in the AI field? These are some of the questions the tech Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. 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…

Analyst Panel Says Take the Quantum Computing Plunge Now…

November 27, 2023

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this y 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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

Training of 1-Trillion Parameter Scientific AI Begins

November 13, 2023

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N 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…

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…

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…

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…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer 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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire