Computer Science and Applied Mathematics
Developing advanced methods for large scale, multi-modal, and streaming data analysis
Computing for National Security
Understanding how architectures and systems can tackle the challenges posed by data-intensive computing
Scientific Data and Computing Center
Expertise in operating large-scale computational science, data management, and analysis infrastructure
Computation and Data-Driven Discovery (C3D)
Driving research and development of new methods and tools to extract knowledge from Big Data
Brookhaven Lab's Computational Science Initiative, known as CSI, excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery.
CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities.
CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad.
We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.
Computational Science News
C2QA Quantum Thursdays
Dimensionality reduction of many-body problem using coupled-cluster formalism: hybrid quantum-classical computing perspective
Karol Kowalski, Pacific Northwest National Laboratory
Thursday, May 6, 2021, 12 p.m., Videoconference / Virtual Event