computing and analytics
Computing and Analytics
The Computing and Analytics Group develops advanced hardware, software, and algorithm technologies for processing large, high-dimensional datasets from a wide range of data sources (structured and unstructured). The group develops novel computer architectures; high-performance and cloud computing technologies; and novel analytics for handling high-dimensional datasets, specifically graph analytics and techniques for fusing and analyzing data from multiple data sources. Technologies are transitioned to a wide range of applications through programs within the group and through collaborative efforts across the Laboratory.
The group maintains multiple academic collaborations and engages in community development activities through publications, symposia, and special sessions at top-tier conferences. The staff members have advanced degrees in computer science, mathematics, and electrical engineering, with expertise spanning high-performance and cloud computing, instruction-set architectures, distributed high-performance databases, runtime code analysis, high-level languages, graph algorithms, machine learning, image processing, anomaly detection, and statistics.
Leadership for Computing and Analytics
Albert Reuther
To apply for a position, visit Employment Opportunities and select 05-53 Computing and Analytics in the Group drop-down box. Students are encouraged to apply for intern positions as well.
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