"Computing has transformed science, engineering and society in remarkable ways", stated Doug Ray, associate director of PNNL's Fundamental & Computational Sciences Directorate. "But as huge amounts of new data are generated daily by scientific instruments and household electronics, new technologies and approaches are needed to give that information more meaning. Researchers at the Northwest Institute for Advanced Computing will tackle 'Big Data' and help improve the quality of life for many U.S. citizens."
Located on UW's campus, the institute will be a centre of collaboration where UW and PNNL researchers jointly explore advanced computer system designs, accelerate data-driven scientific discovery and improve computational modelling and simulation. Scientists and engineers at the institute will also train future researchers in modern computational approaches.
The institute's research will aim to help solve a wide variety of the world's growing problems. For example, improved computational techniques can help design a smart electric grid that reliably delivers energy to keep homes warm and lit. Better analysis of biological data can help determine the causes of disease and how to treat health ailments.
Computer modelling can help explain how climate change impacts natural resources such as snow packs and the formation of greenhouse gas-capturing molecules in the atmosphere. And smartphone data can be used to improve urban life, such as decreasing idle traffic while also reducing carbon emissions from cars.
"The expanded partnership between UW and PNNL will create tremendous new opportunities for both organisations", stated Ed Lazowska, UW's Bill & Melinda Gates Chair in Computer Science & Engineering and director of the UW eScience Institute. "'Big Data' is transforming the process of discovery in all fields. UW and PNNL have significant and complementary strengths; together we'll be able to do amazing things."
UW and PNNL also hope to strengthen the Northwest's economy. The institute will build on UW's and PNNL's existing and already-strong relationships with the region's private technology industry. The institute will also help grow the region's skilled workforce for UW, PNNL, the Northwest technology sector and beyond.
Two co-directors will lead the institute: UW electrical engineering chair and Applied Computational Engineering Lab Director Vikram Jandhyala and PNNL Fellow Moe Khaleel, who directs PNNL's Computational Science and Mathematics research division. PNNL is funding the time spent by both Vikram Jandhyala and Moe Khaleel leading the institute. Institute members from UW and PNNL will jointly submit proposals to various funding agencies for new research projects.
"This collaboration will open up new avenues for research at the interface of computational advances and applications, and is a great synergy for UW and PNNL", Vikram Jandhyala stated.
"This will be an interdisciplinary place for UW faculty in computer science, electrical engineering and applied math to work with PNNL colleagues on areas such as computational physics, Big Data, cyber security and computing for the smart grid", Moe Khaleel stated.
The institute's headquarters are inside UW's Sieg Hall, but the institute will be broader than that specific location. Its research members will hail from many of UW's numerous schools and colleges. And PNNL scientists and engineers will work from both Seattle and the national laboratory's main campus in Richland.
PNNL currently has two scientists who conduct DOE-funded research related to Big Data and nuclear physics from UW's Seattle campus. About eight more PNNL researchers are expected to join them in Seattle by the end of 2013. All Seattle-based PNNL researchers involved in advanced computing will be associated with the institute. And initially more than a dozen of UW's faculty members are expected to join the institute.
Institute members will use computational resources already in place at their home institutions. In Seattle, that includes the Hyak supercomputer developed by UW's eScience Institute and UW-IT. Richland resources include components of the PNNL Institutional Computing programme, which features the Olympus supercomputer. Cloud resources will also be used extensively.
Both UW and PNNL are well known for their contributions to advanced computing. UW is known for its computer science and engineering, electrical engineering and applied mathematics programmes. UW's eScience Institute has advanced data-driven discovery, and the university's computational programmes in physics, chemistry and astronomy are highly regarded.
And PNNL is known for designing and programming high-performance computers and evaluating their performance. PNNL leads research in computational molecular science, multi-scale mathematics, regional climate modelling and the modelling of underground fluids such as water.