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!

AI End Game: The Automation of All Work

June 29, 2017

Last week we reported from ISC on an emerging type of high performance system architecture that integrates HPC and HPA (High Performance Analytics) and incorporates, at its center, exabyte-scale memory capacity, surround Read more…

By Doug Black

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms based on floating point (FP) numbers. Algorithms can definit Read more…

By James Reinders

DoE Awards 24 ASCR Leadership Computing Challenge (ALCC) Projects

June 28, 2017

On Monday, the U.S. Department of Energy’s (DOE’s) ASCR Leadership Computing Challenge (ALCC) program awarded 24 projects a total of 2.1 billion core-hours at the Argonne Leadership Computing Facility (ALCF). The o Read more…

By HPCwire Staff

STEM-Trekker Badisa Mosesane Attends CERN Summer Student Program

June 27, 2017

Badisa Mosesane, an undergraduate scholar who studies computer science at the University of Botswana in Gaborone, recently joined other students from developing nations around the world in Geneva, Switzerland to particip Read more…

By Elizabeth Leake, STEM-Trek

HPE Extreme Performance Solutions

Optimized HPC Solutions Driving Performance, Efficiency, and Scale

Technology is transforming nearly every human and business process, from driving business growth, to translating documents in real time, to enhancing decision-making in areas like financial services and scientific research. Read more…

The EU Human Brain Project Reboots but Supercomputing Still Needed

June 26, 2017

The often contentious, EU-funded Human Brain Project whose initial aim was fixed firmly on full-brain simulation is now in the midst of a reboot targeting a more modest goal – development of informatics tools and data/ Read more…

By John Russell

DOE Launches Chicago Quantum Exchange

June 26, 2017

While many of us were preoccupied with ISC 2017 last week, the launch of the Chicago Quantum Exchange went largely unnoticed. So what is such a thing? It is a Department of Energy sponsored collaboration between the Univ Read more…

By John Russell

UMass Dartmouth Reports on HPC Day 2017 Activities

June 26, 2017

UMass Dartmouth's Center for Scientific Computing & Visualization Research (CSCVR) organized and hosted the third annual "HPC Day 2017" on May 25th. This annual event showcases on-going scientific research in Massach Read more…

By Gaurav Khanna

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “pre-exascale” award), parsed out additional information ab Read more…

By Tiffany Trader

AI End Game: The Automation of All Work

June 29, 2017

Last week we reported from ISC on an emerging type of high performance system architecture that integrates HPC and HPA (High Performance Analytics) and incorpor Read more…

By Doug Black

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

DoE Awards 24 ASCR Leadership Computing Challenge (ALCC) Projects

June 28, 2017

On Monday, the U.S. Department of Energy’s (DOE’s) ASCR Leadership Computing Challenge (ALCC) program awarded 24 projects a total of 2.1 billion core-hour Read more…

By HPCwire Staff

DOE Launches Chicago Quantum Exchange

June 26, 2017

While many of us were preoccupied with ISC 2017 last week, the launch of the Chicago Quantum Exchange went largely unnoticed. So what is such a thing? It is a D Read more…

By John Russell

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Tsinghua Crowned Eight-Time Student Cluster Champions at ISC

June 22, 2017

Always a hard-fought competition, the Student Cluster Competition awards were announced Wednesday, June 21, at the ISC High Performance Conference 2017. Amid wh Read more…

By Kim McMahon

GPUs, Power9, Figure Prominently in IBM’s Bet on Weather Forecasting

June 22, 2017

IBM jumped into the weather forecasting business roughly a year and a half ago by purchasing The Weather Company. This week at ISC 2017, Big Blue rolled out pla Read more…

By John Russell

Intersect 360 at ISC: HPC Industry at $44B by 2021

June 22, 2017

The care, feeding and sustained growth of the HPC industry increasingly is in the hands of the commercial market sector – in particular, it’s the hyperscale Read more…

By Doug Black

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference Read more…

By Tiffany Trader

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

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

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Read more…

By Tiffany Trader

Leading Solution Providers

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

US Supercomputing Leaders Tackle the China Question

March 15, 2017

Joint DOE-NSA report responds to the increased global pressures impacting the competitiveness of U.S. supercomputing. Read more…

By Tiffany Trader

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of Read more…

By Alex Woodie

DOE Supercomputer Achieves Record 45-Qubit Quantum Simulation

April 13, 2017

In order to simulate larger and larger quantum systems and usher in an age of “quantum supremacy,” researchers are stretching the limits of today’s most advanced supercomputers. Read more…

By Tiffany Trader

Top500 Results: Latest List Trends and What’s in Store

June 19, 2017

Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…

By Tiffany Trader

Six Exascale PathForward Vendors Selected; DoE Providing $258M

June 15, 2017

The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…

By John Russell

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