IBM, Texas A&M System to drive computational science research through big data and HPC

IBM is collaborating with Texas A&M University System to drive computational science research by leveraging big data analytics  and high performance computing (HPC).

The collaborative research is expected to deliver 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.

This initiative is a major step forward for the A&M System in research computing power, said chancellor John Sharp, Texas A&M University System. “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,” Sharp said.


Both participants will align their 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; disease spread tracking, modeling and prediction; energy resource management; and new materials development for advanced applications in energy, aerospace, structural and defense applications.

In support of the long-term research effort, IBM will supply its technical computing technologies that will be cloud enabled. It will comprise IBM hardware and software including a Blue Gene/Q system, 75 PowerLinux 7R2 servers with IBM BigInsights and Platform Symphony software, IBM Platform LSF scheduler, and IBM General Parallel File System; and System x with estimated 900 IBM System x dense hyperscale compute nodes as part of an IBM NeXtScale system.

IBM will also supply Platform Computing software and 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. 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.

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