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Newswise The National Science Foundation has awarded a $500,000 grant to researchers at Texas Tech University to develop a new supercomputer prototype that could lead to more efficient data-intensive computing - and speed-up the scientific discovery cycle.

Yong Chen, assistant professor of computer science and Director of Data-Intensive Scalable Computing Laboratory at Texas Tech University, is leading a team of researchers in a project titled, Development of a Data-Intensive Scalable Computing Instrument (DISCI) for High Performance Computing.

High performance computers traditionally are designed for computation-intensive problems, Chen said. They are not a good fit for the increasingly important data-intensive applications.

Imagine trying to use a 35 year old computer to perform modern day tasks, such as streaming a movie. It would be impossible because that particular device was only meant for computations.

In computing technology, advancement in software has always lagged behind hardware, said Rattikorn Hewett, department chair and professor of computer science. Just like having a modern home running an old plumbing system, sophisticated high performance computers alone cant perform well without advanced mechanisms for Data movement and Data access. Dr. Chens project attempts to unlock this problem with software solutions that would potentially have great impacts on anyone who uses data intensively.

Chen says existing supercomputers experience comparable behavior, but on a much larger scale, for many data-intensive scientific and enterprise computing problems.

Data generation has become so cheap and so easy, Chen said. Almost everyone has a smartphone capable of taking pictures or video. Gene sequencers have never been so cheap. The proliferation of sensors, embedded devices and mobile devices has led to data generation easier than never before. The problem comes with data storage, retrieval and utilization.

The teams goal is to create a supercomputer that will enable academic departments, cross-disciplinary units and collaborators to analyze and utilize their data, and put them to use with accuracy, speed and efficiency.

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Computer Scientists & Multidisciplinary Team Receive Grant to Build Faster, More Efficient Supercomputer Prototype