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Open Science Grid

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Open Science Grid
NameOpen Science Grid
Founded0 2006
FocusDistributed computing, High-throughput computing, Cyberinfrastructure
Websiteopensciencegrid.org

Open Science Grid. The Open Science Grid is a consortium that provides a shared, distributed high-throughput computing infrastructure for data-intensive scientific research across the United States. It federates computing and storage resources from dozens of partner institutions, including national laboratories and universities, to create a powerful, scalable grid computing environment. This infrastructure supports a diverse array of research domains, from high-energy physics to bioinformatics, enabling discoveries that would be impossible with local resources alone. The consortium operates as a virtual organization, managing resource sharing, software stacks, and user support through collaborative governance.

Overview

The consortium operates as a fabric of interconnected resources, providing researchers with seamless access to vast computational power without needing to manage the underlying physical hardware. Its primary service model revolves around allocating CPU cycles and storage capacity for workloads that can be partitioned into many independent tasks, a paradigm central to high-throughput computing. Key stakeholders and users include major experiments at Fermilab and Brookhaven National Laboratory, as well as individual research teams from institutions like the University of Chicago and the University of Wisconsin–Madison. By pooling resources from sites across the country, it creates a reliable, national-scale cyberinfrastructure that is greater than the sum of its parts, directly supporting the missions of the United States Department of Energy and the National Science Foundation.

History and development

The origins of the consortium are deeply tied to the data processing needs of the Large Hadron Collider experiments, particularly the Compact Muon Solenoid and ATLAS experiment, which required unprecedented computing scales. It evolved from earlier projects like the Grid2003 project and the Particle Physics Data Grid, which pioneered large-scale distributed computing for the LHC. Formal establishment occurred in 2006, funded through a major cooperative agreement from the National Science Foundation and the DOE Office of Science. Subsequent development phases have focused on expanding beyond its roots in particle physics to serve a broader scientific community, incorporating resources from the Extreme Science and Engineering Discovery Environment (XSEDE) and supporting initiatives like the IceCube Neutrino Observatory and the Laser Interferometer Gravitational-Wave Observatory (LIGO).

Infrastructure and technology

The technological backbone is a federation of heterogeneous resources, utilizing the HTCondor batch system and the Globus Toolkit for secure, managed job execution and data movement across administrative domains. A core component is the integration of the HTCondor-C software, which enables the creation of flocking pools that span institutional boundaries. The infrastructure relies on a common security model based on X.509 public key infrastructure certificates, often managed through services like the CILogon portal. Storage is aggregated via systems like dCache and Hadoop Distributed File System, while monitoring and accounting are handled by tools such as Gratia. This layered software stack ensures interoperability and efficient utilization of contributed resources from partners like the San Diego Supercomputer Center and the Texas Advanced Computing Center.

Scientific applications and impact

The grid has enabled transformative research across multiple fields, most notably in processing petabytes of data for the Large Synoptic Survey Telescope (LSST) and simulating complex molecular dynamics for the COVID-19 SARS-CoV-2 virus. In astrophysics, it has been crucial for analyses conducted by the Dark Energy Survey and for modeling black hole mergers detected by LIGO. Life sciences applications include large-scale genome sequencing projects and virtual drug screening campaigns for diseases like Alzheimer's disease. The impact is quantified by the consistent delivery of over 2 billion CPU hours annually to hundreds of research projects, accelerating publication rates and facilitating collaborations that span institutions like MIT, Stanford University, and the University of Illinois Urbana-Champaign.

Governance and funding

Governance is structured as a consortium, overseen by a Council of representatives from leading member organizations such as Fermilab, Brookhaven National Laboratory, and the University of Nebraska–Lincoln. Day-to-day operations and technical direction are managed by an Executive Team and various working groups focused on areas like security, software, and outreach. Primary financial support comes from multi-year grants awarded by the National Science Foundation's Office of Advanced Cyberinfrastructure and the United States Department of Energy's Office of High Energy Physics. Additional resource contributions are made in-kind by partner universities and laboratories, which donate computing cycles and storage as part of their institutional commitments to national research infrastructure.

Category:Scientific computing Category:Grid computing Category:Research projects Category:Cyberinfrastructure