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Brookhaven Lab is establishing itself as a global leader in tackling the challenges of Big Data, building on our existing expertise, capabilities, and investments in computational science and data management, and enabling scientific discovery in large-scale experimental environments.

About Us

Building on its capabilities in data-intensive computing and computational science, Brookhaven National Laboratory has embarked upon a major Computational Science Initiative.

Advances in computational science, data management and analysis have been a key factor in the success of Brookhaven Lab's scientific programs at the Relativistic Heavy Ion Collider (RHIC), the National Synchrotron Light Source (NSLS), the Center for Functional Nanomaterials (CFN), and in biological, atmospheric, and energy systems science, as well as our collaborative participation in international research endeavors, such as the ATLAS experiment at Europe's Large Hadron Collider.

The Computational Science Initiative (CSI) brings together under one umbrella the expertise that has driven this success to foster cross-disciplinary collaborations to address the next generation of scientific challenges posed by facilities such as the new National Synchrotron Light Source II (NSLS-II). A particular focus of CSI's work will be the research, development and deployment of novel methods and algorithms for the timely analysis and interpretation of high volume, high velocity, heterogeneous scientific data created by experimental, observational and computational facilities to accelerate and advance scientific discovery. CSI is hereby taking an integrated approach, providing capabilities from leading edge research to multi-disciplinary teams that deliver operational data analysis capabilities to the scientific user communities.

Enabling Capabilities

Computer Science and Mathematics—fundamental research into novel methods and algorithm in support of large-scale, multi-modal, and streaming data analysis. Novel solutions for long term data curation and active reuse. Approaches to enable energy efficient, extreme-scale numerical modeling specifically in computational materials science, chemistry, lattice quantum chromo dynamics and fusion.

The BNL Scientific Data and Computing Center, housing the latest systems in high-performance and data-intensive computing, data storage, and networking, offering everything from novel research platforms to highly reliable production services.

Translational Capabilities

The Computational Science Laboratory, a collaborative space for the development of advanced algorithms and their characterization and optimization, also brings together computer scientists, mathematicians, and leading computational scientists to develop next-generation numerical simulation models

The Center for Data Driven Discovery (C3D), a multi-disciplinary center for the development, deployment, and operation of data-intensive discovery services for science, national security, and industry

A Multi-disciplinary, Collaborative Approach

The CSI philosophy is a multi-disciplinary and collaborative approach to scientific research and development, with research targeted at and informed by the key challenges observed in close interactions with our clients in science, national security agencies, and industry. Our success is measured in equal parts by the advancement we can bring to computer science and mathematics, as well as by the transformational impact we have on our clients’ mission space.

The CSI brings together under one umbrella the expertise that fosters cross-disciplinary collaboration and makes optimal use of existing technologies, while also leading the development of new tools and methods that will benefit science both within and beyond the Laboratory. Key partners include nearby universities such as Columbia, Cornell, New York University, Stony Brook, and Yale, as well as IBM Research.

Strategic Partnerships

Brookhaven's computational scientists are looking to establish partnerships with key players in academia and industry (e.g. Stony Brook University’s Institute for Advanced Computational Science, Rensselaer Polytechnic Institute, Oak Ridge National Laboratory, IBM, and Intel). An example of a successful partnership is the collaboration of Brookhaven Lab’s high-energy and nuclear physics research groups with IBM that led to the development of the BlueGene supercomputing architecture now used on the world’s most powerful commercially available supercomputers.

More about strategic partnerships
  1. MAR

    25

    Today

    Computational Science Initiative Event

    "Quantum Walk Search for the Near Term"

    Presented by Chen-Fu Chiang, SUNY Polytechnic Institute

    10 am, Bldg 725 Training Room

    Monday, March 25, 2019, 10:00 am

    Hosted by: Mike McGuigan

    Grover search is a special kind of quantum walk, not directly applicable to searching a physical database. It has been shown that a database of N items laid out in d-spatial dimensions can be searched in time of order sqrt(N) for d > 2. It has likewise been shown that quantum walk search performs optimally on 3+D dimension search with the quadratic speedup preserved while its performance does not preserve the quadratic speedup in the 1D and 2D grid. This talk will focus on spatial search via quantum walk and will cover (1) recent advances in 2D and 1D search using Lackadaisical quantum walks, (2) a quantum circuit that utilizes the quantum approximate optimization algorithm (QAOA), related to quantum walk, to perform Grover search by replacing the diffusion operator with transverse (local) operators and, (3) possible approaches for dealing with classical data using near-term small quantum devices.

  1. APR

    29

    Monday

    OpenMP Brookathon 2019

    April 29 - May 2, 2019