Texas A&M Teams with IBM to Drive Research

January 29, 2014

COLLEGE STATION, Texas, and ARMONK, NY, Jan. 29 — Texas A&M University System and IBM today announced an agreement that is the beginning of a broad research collaboration supported by one of the largest computational sciences infrastructure dedicated to advances in agriculture, geosciences and engineering.

The collaboration will leverage the power of big data analytics and high performance computing (HPC) systems for innovative solutions across a spectrum of challenges, such as improving extraction of Earth-based energy resources, facilitating the smart energy grid, accelerating materials development, improving disease identification and tracking in animals, and fostering better understanding and monitoring of our global food supplies.

“Combining the incredible intellectual and technological resources of Texas A&M University and IBM will further position Texasas a leader in identifying and solving some of the most complex challenges we face,” Texas Gov. Rick Perry said. “The work that will be done here will change lives and potentially save lives not just in our state, but our nation and around the world.”

IBM will provide the infrastructure for the joint research consisting of Blue Gene/Q technology, Power and System x servers, and General Parallel File Systems (GPFS) Storage Systems. A test of the Blue Gene/Q on campus found that it ran a material sciences problem that previously took weeks to solve and produced a solution in “a fraction of an hour” with much greater analytical depth.

“The Texas A&M System and IBM share a passion and a commitment to research that identifies practical solutions to global challenges,” said Chancellor John Sharp, Texas A&M University System. “As the largest research university in the state, this agreement is a major step forward for the A&M System in research computing power. This brings together the best computer scientists and technology in the world to focus on issues so important to our role as a leading research institution and to our land-grant mission of serving the state while also providing resources to serve the greater good throughout the world.”

IBM Research and the A&M System intend to align skills, assets and resources to pursue fundamental research, applied development, educational reach and sustainable commercial activities with projects that may include:

  • Sustainable Availability of Food: Efficiently providing sufficient food for a growing global population
  • Disease Spread Tracking, Modeling and Prediction: Early and accurate detection and prediction of infectious disease spread to allow the design, testing and manufacturing of medical countermeasures
  • Energy Resource Management: Responsibly explore, extract, and deliver energy resources
  • New Materials Development: Atomic-level modeling, design and testing of new materials for advanced applications in energy, aerospace, structural and defense applications

As a premier engineering research agency of Texas, Texas A&M Engineering Experiment Station (TEES), which conducts research to provide practical answers to critical state and national needs, will be heavily involved from the Texas A&M UniversitySystem and according to Katherine Banks, Director of TEES and Vice Chancellor of Engineering, “This is a unique opportunity to meet the needs of engineering, geosciences and agriculture and life sciences researchers to expand in areas not feasible before with small-scale HPC systems.”

“IBM and the Texas A&M System have crafted a unique collaboration that could apply computational science and big data analytics to some of the most daunting problems in agriculture, geosciences and engineering,” said William LaFontaine, Vice President of High Performance Analytics and Cognitive Markets at IBM. “With the combined research capabilities of both institutions and ready access to state-of-the-art computing technology, we feel this collaboration could produce significant scientific insights leading to industry-changing solutions and material economic impact. We are extremely pleased to be engaged with such extraordinarily capable institutions in the A&M System and look forward to years of discovery and innovation.”

TEES partners with academic institutions, governmental agencies, industries, and communities to solve problems to help improve the quality of life, promote economic development, and enhance the educational systems of Texas. It is intimately connected with the College of Engineering of Texas A&M University, which is undergoing an unprecedented growth to become a College with 25,000 students by the year 2025 and hire a new generation of faculty who will be addressing the Nation’s needs for research and technology development.

In support of the long-term research effort, IBM will supply to the A&M System cutting edge technical computing technologies, which will be cloud-enabled. The A&M System will deploy a research computing cloud that will comprise of IBM hardware and software including:

  • Blue Gene/Q: Serving as the foundation of the computing infrastructure, a Blue Gene/Q system consisting of two racks, with more than 2,000 compute nodes, will provide 418 teraflops (TF) of sustained performance for big data analytics, complex modeling, and simulation of molecular dynamics, protein folding and organ modeling.
  • Power Systems: A total of 75 PowerLinux 7R2 servers with POWER7+ microprocessors will be connected by 10GbE into a system optimized for big data and analytics and high performance computing. This complex includes IBM BigInsights and Platform Symphony software, IBM Platform LSF scheduler, and IBM General Parallel File System.
  • System x: The solution will contain an estimated 900 IBM System x dense hyperscale compute nodes as part of an IBM NeXtScale system. Some of the nodes will be managed by Platform Cluster Manager Advanced Edition (PCM-AE) as a University-wide HPC cloud while the others will be managed by Platform Cluster Manager Standard Edition (PCM-SE) and serve as a general purpose compute infrastructure for the geosciences and open source analytics initiatives.
  • Platform Computing: Platform Computing software will be used to manage and accelerate various computational workloads. Platform Symphony will drive big data and analytics, and Platform LSF will drive traditional HPC and technical computing workloads. Platform Computing will also power the creation of an HPC cloud, allowing users within the A&M System access to the system.
  • General Parallel File System (GPFS): Five IBM System x GPFS Storage Servers (GSS) will provide five petabytes (PB) of shared storage for use by the compute building blocks using high-speed networks. GPFS will also include an IBM FlashSystem 820 tier with 10 terabytes (TB) of flash storage, delivering performance to accelerate computation for use primarily by Texas A&M Agrilife Research, Geosciences and university HPC as a part of the research computing infrastructure.

Furthermore, IBM will work with researchers at the A&M System to assess new computing technologies that will be necessary to advance data-driven science discovery and innovation over the next several years.

About IBM

For more information on IBM Research visit www.research.ibm.com.
For more information on IBM Technical Computing visit www.ibm.com/systems/technicalcomputing/.

About the A&M System

The A&M System is one of the largest systems of higher education in the nation, with a budget of $3.5 billion. Through a statewide network of 11 universities, seven state agencies, two service units, a comprehensive health science center and a system administration office, the A&M System educates more than 125,000 students and makes more than 22 million additional educational contacts through service and outreach programs each year. Externally funded research expenditures exceed $780 million and help drive the state’s economy.

—–

Source: IBM

Subscribe to HPCwire's Weekly Update!

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

Fluid HPC: How Extreme-Scale Computing Should Respond to Meltdown and Spectre

February 15, 2018

The Meltdown and Spectre vulnerabilities are proving difficult to fix, and initial experiments suggest security patches will cause significant performance penalties to HPC applications. Even as these patches are rolled o Read more…

By Pete Beckman

Intel Touts Silicon Spin Qubits for Quantum Computing

February 14, 2018

Debate around what makes a good qubit and how best to manufacture them is a sprawling topic. There are many insistent voices favoring one or another approach. Referencing a paper published today in Nature, Intel has offe Read more…

By John Russell

Brookhaven Ramps Up Computing for National Security Effort

February 14, 2018

Last week, Dan Coats, the director of Director of National Intelligence for the U.S., warned the Senate Intelligence Committee that Russia was likely to meddle in the 2018 mid-term U.S. elections, much as it stands accused of doing in the 2016 Presidential election. Read more…

By John Russell

HPE Extreme Performance Solutions

Safeguard Your HPC Environment with the World’s Most Secure Industry Standard Servers

Today’s organizations operate in an environment with ever-evolving threats, and in order to protect themselves they must continuously bolster their security strategy. Hewlett Packard Enterprise (HPE) and Intel® are addressing modern security challenges with the world’s most secure industry standard servers powered by the latest generation of Intel® Xeon® Scalable processors. Read more…

AI Cloud Competition Heats Up: Google’s TPUs, Amazon Building AI Chip

February 12, 2018

Competition in the white hot AI (and public cloud) market pits Google against Amazon this week, with Google offering AI hardware on its cloud platform intended to make it easier, faster and cheaper to train and run machi Read more…

By Doug Black

Fluid HPC: How Extreme-Scale Computing Should Respond to Meltdown and Spectre

February 15, 2018

The Meltdown and Spectre vulnerabilities are proving difficult to fix, and initial experiments suggest security patches will cause significant performance penal Read more…

By Pete Beckman

Brookhaven Ramps Up Computing for National Security Effort

February 14, 2018

Last week, Dan Coats, the director of Director of National Intelligence for the U.S., warned the Senate Intelligence Committee that Russia was likely to meddle in the 2018 mid-term U.S. elections, much as it stands accused of doing in the 2016 Presidential election. Read more…

By John Russell

AI Cloud Competition Heats Up: Google’s TPUs, Amazon Building AI Chip

February 12, 2018

Competition in the white hot AI (and public cloud) market pits Google against Amazon this week, with Google offering AI hardware on its cloud platform intended Read more…

By Doug Black

Russian Nuclear Engineers Caught Cryptomining on Lab Supercomputer

February 12, 2018

Nuclear scientists working at the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF) have been arrested for using lab supercomputing resources to mine crypto-currency, according to a report in Russia’s Interfax News Agency. Read more…

By Tiffany Trader

The Food Industry’s Next Journey — from Mars to Exascale

February 12, 2018

Global food producer and one of the world's leading chocolate companies Mars Inc. has a unique perspective on the impact that exascale computing will have on the food industry. Read more…

By Scott Gibson, Oak Ridge National Laboratory

Singularity HPC Container Start-Up – Sylabs – Emerges from Stealth

February 8, 2018

The driving force behind Singularity, the popular HPC container technology, is bringing the open source platform to the enterprise with the launch of a new vent Read more…

By George Leopold

Dell EMC Debuts PowerEdge Servers with AMD EPYC Chips

February 6, 2018

AMD notched another EPYC processor win today with Dell EMC’s introduction of three PowerEdge servers (R6415, R7415, and R7425) based on the EPYC 7000-series p Read more…

By John Russell

‘Next Generation’ Universe Simulation Is Most Advanced Yet

February 5, 2018

The research group that gave us the most detailed time-lapse simulation of the universe’s evolution in 2014, spanning 13.8 billion years of cosmic evolution, is back in the spotlight with an even more advanced cosmological model that is providing new insights into how black holes influence the distribution of dark matter, how heavy elements are produced and distributed, and where magnetic fields originate. Read more…

By Tiffany Trader

Inventor Claims to Have Solved Floating Point Error Problem

January 17, 2018

"The decades-old floating point error problem has been solved," proclaims a press release from inventor Alan Jorgensen. The computer scientist has filed for and Read more…

By Tiffany Trader

Japan Unveils Quantum Neural Network

November 22, 2017

The U.S. and China are leading the race toward productive quantum computing, but it's early enough that ultimate leadership is still something of an open questi Read more…

By Tiffany Trader

AMD Showcases Growing Portfolio of EPYC and Radeon-based Systems at SC17

November 13, 2017

AMD’s charge back into HPC and the datacenter is on full display at SC17. Having launched the EPYC processor line in June along with its MI25 GPU the focus he Read more…

By John Russell

Researchers Measure Impact of ‘Meltdown’ and ‘Spectre’ Patches on HPC Workloads

January 17, 2018

Computer scientists from the Center for Computational Research, State University of New York (SUNY), University at Buffalo have examined the effect of Meltdown Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

IBM Begins Power9 Rollout with Backing from DOE, Google

December 6, 2017

After over a year of buildup, IBM is unveiling its first Power9 system based on the same architecture as the Department of Energy CORAL supercomputers, Summit a Read more…

By Tiffany Trader

Fast Forward: Five HPC Predictions for 2018

December 21, 2017

What’s on your list of high (and low) lights for 2017? Volta 100’s arrival on the heels of the P100? Appearance, albeit late in the year, of IBM’s Power9? Read more…

By John Russell

Russian Nuclear Engineers Caught Cryptomining on Lab Supercomputer

February 12, 2018

Nuclear scientists working at the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF) have been arrested for using lab supercomputing resources to mine crypto-currency, according to a report in Russia’s Interfax News Agency. Read more…

By Tiffany Trader

Leading Solution Providers

Chip Flaws ‘Meltdown’ and ‘Spectre’ Loom Large

January 4, 2018

The HPC and wider tech community have been abuzz this week over the discovery of critical design flaws that impact virtually all contemporary microprocessors. T Read more…

By Tiffany Trader

Perspective: What Really Happened at SC17?

November 22, 2017

SC is over. Now comes the myriad of follow-ups. Inboxes are filled with templated emails from vendors and other exhibitors hoping to win a place in the post-SC thinking of booth visitors. Attendees of tutorials, workshops and other technical sessions will be inundated with requests for feedback. Read more…

By Andrew Jones

How Meltdown and Spectre Patches Will Affect HPC Workloads

January 10, 2018

There have been claims that the fixes for the Meltdown and Spectre security vulnerabilities, named the KPTI (aka KAISER) patches, are going to affect applicatio Read more…

By Rosemary Francis

GlobalFoundries, Ayar Labs Team Up to Commercialize Optical I/O

December 4, 2017

GlobalFoundries (GF) and Ayar Labs, a startup focused on using light, instead of electricity, to transfer data between chips, today announced they've entered in Read more…

By Tiffany Trader

Tensors Come of Age: Why the AI Revolution Will Help HPC

November 13, 2017

Thirty years ago, parallel computing was coming of age. A bitter battle began between stalwart vector computing supporters and advocates of various approaches to parallel computing. IBM skeptic Alan Karp, reacting to announcements of nCUBE’s 1024-microprocessor system and Thinking Machines’ 65,536-element array, made a public $100 wager that no one could get a parallel speedup of over 200 on real HPC workloads. Read more…

By John Gustafson & Lenore Mullin

Flipping the Flops and Reading the Top500 Tea Leaves

November 13, 2017

The 50th edition of the Top500 list, the biannual publication of the world’s fastest supercomputers based on public Linpack benchmarking results, was released Read more…

By Tiffany Trader

V100 Good but not Great on Select Deep Learning Aps, Says Xcelerit

November 27, 2017

Wringing optimum performance from hardware to accelerate deep learning applications is a challenge that often depends on the specific application in use. A benc Read more…

By John Russell

2017 Gordon Bell Prize Finalists Named

October 23, 2017

The three finalists for this year’s Gordon Bell Prize in High Performance Computing have been announced. They include two papers on projects run on China’s Read more…

By John Russell

  • arrow
  • Click Here for More Headlines
  • arrow
Share This