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Research & Collaboration

Groups & Labs

SDSC's labs and groups offer a number of cyberinfrastructure services to scientists and engineers, helping them reach their goals quickly and more efficiently. The center's users can tap into a number of groups with expertise in areas such as data management, visualization and grid development. SDSC also has an education group that brings cutting-edge research and science curriculum to students, teachers and parents.

Advanced CyberInfrastructure Development – The ACID group at SDSC is engaged in research and development activities related to data cyberinfrastructure spanning the range from data acquisition, to data management, analysis, integration, mining, and visualization.

CLDS: Center for Large-scale Data Systems Research – CLDS develops concepts, frameworks, analytical approaches, case analyses and systems solutions to address technical as well as technology-management challenges facing information-intensive organizations in the era of big data.

Health Cyberinfrastructure – SDSC’s commitment to Healthcare Informatics spans many years of providing compute, infrastructure and network expertise which allows researchers and the Center’s partners and co-collaborators to have significant impact in the healthcare arena. To this end, SDSC has established the Division of Health Cyberinfrastructure to focus our commitment and to leverage decades of cyberinfrastructure experience to apply technology to innovative and transformative health initiatives

HPGeoC: High Performance GeoComputing Lab – Conducts research and development in high performance computing, data intensive computing, and grid computing to support geoscience applications, with particular emphasis on computational seismology. HPGeoC is in collaboration with Southern California Earth Center (SCEC) to develop state-of-the-art techniques and applications supporting petascale earthquake computing.

PACE: Predictive Analytics Center of Excellence – According to the Harvard Business Journal and Fortune magazine a career as a data scientist is “the” job to have in the 21st century. At the same time, it underscores the high demand for a talented, qualified STEM (science, technology, engineering, and mathematics) workforce. SDSC’s Predictive Analytics Center of Excellence (PACE) is bridging new partnerships with business, health and scientific enterprises to stay laser focused on educating and training the core-knowledge, data scientists so critical to global business intelligence, performance management and innovation

PMaC: Performance Modeling and Characterization – Funded by the Department of Energy (DOE), the Department of Defense (DoD), Defense Advanced Research Projects Agency (DARPA), and the National Science Foundation (NSF), PMaC's mission is to bring scientific rigor to the prediction and understanding of factors that affect the performance of current and projected high-performance computing platforms.

Structural Bioinformatics Group – The Structural Bioinformatics group at SDSC leads the RCSB Protein Data Bank project at UCSD. Its research and development activities are broadly centered around 3D structures of proteins and nucleic acids, and the integration of structural data with other domains such as Medicine, Genomics, Biology, and Drug Discovery.

Visualization at SDSC – Visualization Services at SDSC provides users with a wide range of tools and services to aid in their scientific research and outreach by creating insightful visual content and software.

Walker Molecular Dynamics Lab - Funded by the U.S. Department of Energy (DOE), the National Science Foundation (NSF) and the University of California. Practical applications of the techniques development in the lab include the development of next generation viral inhibitors and improvement of the efficiency of cellulose to bio-ethanol conversion in support of the U.S. DoE mandate to replace the use of fossil fuels with clean renewable sources.