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| Computational Science Center at Brookhaven National Laboratory | |
|---|---|
| Name | Computational Science Center at Brookhaven National Laboratory |
| Established | 2006 |
| Type | Research center |
| Location | Upton, New York |
| Parent institution | Brookhaven National Laboratory |
Computational Science Center at Brookhaven National Laboratory The Computational Science Center at Brookhaven National Laboratory is a research unit that advances high-performance computing, data-intensive science, and algorithms supporting experimental facilities. It provides computational resources, software engineering, and scientific expertise to projects spanning particle physics, nuclear physics, materials science, and energy research. The Center integrates with national initiatives in supercomputing and collaborates with universities, national laboratories, and industry partners.
The Center was established amid national investments in flagship facilities such as Relativistic Heavy Ion Collider, National Synchrotron Light Source II, and initiatives tied to agencies including United States Department of Energy, Office of Science, and programs influenced by reports from bodies like the National Academies of Sciences, Engineering, and Medicine. It traces organizational lineage to computational groups at Brookhaven National Laboratory that supported experiments associated with collaborations including ATLAS, CMS, STAR, and projects linked to proposals evaluated by panels such as the High Energy Physics Advisory Panel. The mission emphasizes enabling science through scalable software, algorithm development, and operation of computing platforms aligned with national roadmaps like those from the Exascale Computing Project and coordination with centers such as Argonne National Laboratory, Oak Ridge National Laboratory, and Lawrence Berkeley National Laboratory.
The Center operates on the Brookhaven National Laboratory campus near facilities like the Relativistic Heavy Ion Collider and National Synchrotron Light Source II, hosting large-scale compute clusters, data storage arrays, and visualization systems. Infrastructure assets include high-performance clusters designed to run codes used in collaborations with experiments such as ATLAS (particle detector), CMS (particle detector), and computational campaigns related to projects funded by the Advanced Scientific Computing Research program. Networking connects to national research backbones including ESnet and interfaces with regional computing facilities at institutions such as Stony Brook University and federal resources like Oak Ridge Leadership Computing Facility. The Center supports software environments used by codes influenced by groups at Los Alamos National Laboratory, Sandia National Laboratories, and research consortia like NERSC.
Research spans algorithm development for simulation, data analysis pipelines, machine learning applied to experiments, and software engineering for community codes. Computational efforts support physics targets ranging from heavy-ion collision modeling for STAR (detector) and PHENIX (detector)-era comparisons to accelerator modeling for National Synchrotron Light Source II beamlines. The Center contributes to projects in condensed matter modeling used by users from University of California, Berkeley and collaborations with experimental programs at Center for Functional Nanomaterials. It advances workflows for multi-messenger science linked to collaborations with groups involved in instrumentation like Large Hadron Collider experiments and space missions coordinated with agencies such as National Aeronautics and Space Administration. Methodological work includes parallel algorithms informed by research at MIT and Princeton University, and machine-learning frameworks interoperable with platforms developed at Google-affiliated initiatives and academic groups at Columbia University.
The Center partners with national laboratories including Argonne National Laboratory, Oak Ridge National Laboratory, Lawrence Berkeley National Laboratory, Los Alamos National Laboratory, and Sandia National Laboratories, as well as universities such as Stony Brook University, Massachusetts Institute of Technology, Princeton University, Columbia University, and Cornell University. It engages with international research infrastructures including collaborators from CERN and consortia such as the Worldwide LHC Computing Grid. Industrial partnerships span companies involved in high-performance computing and storage like IBM, Intel, NVIDIA, and cloud providers with research programs tied to corporate labs such as Microsoft Research and Google Research. Funding and programmatic ties include projects with the National Science Foundation, Defense Advanced Research Projects Agency, and technology transition pathways with agencies like NASA.
The Center runs training programs for graduate students, postdoctoral researchers, and facility users in topics such as parallel programming, data management, and machine learning. Educational initiatives involve joint appointments and internships with universities including Stony Brook University and collaborations on curriculum development with departments at SUNY campuses and research groups at Brookhaven National Laboratory. Outreach includes workshops, hackathons, and summer schools co-organized with networks like the Scientific Discovery through Advanced Computing community, regional consortia, and outreach events targeted at undergraduates and faculty from institutions such as City University of New York. The Center contributes to community software via repositories and coordination with professional societies such as the American Physical Society.
Contributions from the Center have been recognized through awards and citations connected to multi-institution efforts, with staff participating in prize-winning collaborations and receiving honors from bodies such as the Department of Energy program offices and peer societies like the American Physical Society. Its impact includes enabling discoveries at major user facilities like Relativistic Heavy Ion Collider experiments and accelerating materials research for users from institutions such as Columbia University and Cornell University. The Center’s infrastructure and software have supported projects that influenced national computing roadmaps and informed investments in exascale capabilities advocated by panels including the High Performance Computing Advisory Panel.
Category:Brookhaven National Laboratory Category:Research institutes in New York