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Computing for National Security

From field-programmable gate arrays (configurable computing devices) integrated with traditional central processing units, and quantum computing that takes advantage of the way the tiniest of particles behave, to neuromorphic computing that mimics the neural networks of the human brain, these architectures are someday expected to perform operations much more quickly and with less energy. Ensuring the optimal performance of these architectures and achieving the timescales needed for different national security applications requires evaluating new hardware technologies and developing the needed system software, programming models, and analytical software in tandem. This integrated research, development, and evaluation effort is the focus of the Computing for National Security Department.

The department leverages the efforts of the other components of Brookhaven Lab's Computational Science Initiative—the Computer Science and Mathematics Department, Center for Data-Driven Discovery, Computational Science Laboratory, and Scientific Data and Computing Center. Members of the department collaborate with computer scientists, applied mathematicians, computational scientists, and domain science researchers. Partnerships with other national laboratories, colleges and universities, research institutions, and industry are important to advancing the department’s research programs.