USRC’s storage research is focused around next generation storage and file systems for ultrascale systems. This work includes collaborators from industry.
USRC’s storage research is lead by Dr. Bradley Settlemyer.
Below are the staff considered to be in the “Storage” group.
Dr. Bradley Settlemyer
Brad Settlemyer is a storage systems researcher and systems programmer specializing in high performance computing. He received his Ph.D in computer engineering from Clemson University in 2009 and works as a research scientist in Los Alamos National Laboratory's HPC Design group. He has published papers on emerging storage systems, long distance data movement, network modeling, and storage system algorithms.
Dr. John Bent
Chief Architect, Seagate Government Solutions
John’s primary research area is HPC parallel storage. As Seagate Government Solutions’ Chief Architect, John collaborates with researchers at the USRC to help research and design the storage systems necessary to support an exascale supercomputer. Additionally, John is privileged to help mentor many of the very bright and talented URC student researchers.
Dr. Carlos Maltzahn
Associate Adjunct Professor Computer Science Dept, UC Santa Cruz
Carlos’ current research interests include scalable scientific data management, storage QoS, data management games, network intermediaries, information retrieval, and cooperation dynamics. As a Visiting Scientist at USRC, Carlos worked with students on their Ph.D. projects, including scalable parallel querying of scientific data, scalable map/reduce processing of scientific data, scalable simulation of parallel file systems, and predictable performance in very large storage systems. A high priority goal for him is to form collaborative projects with USRC scientists and get those collaborations funded.
Graduate Student, Carnegie Mellon University
Qing is a 4th-year Ph.D. student at Carnegie Mellon University Computer Science Department. At Carnegie Mellon, Qing works with Professor Garth Gibson, researchers at the Carnegie Mellon Parallel Data Lab, and scientists at Los Alamos National Lab (LANL), on file system metadata designs (IndexFS and DeltaFS) for massive-scale science applications. Their IndexFS paper has won Best Paper Award at the Supercomputing Conference (SC) 2014. At NMC Ultra System Research Center (USRC), Qing works with Brad Settlemyer and other USRC and LANL scientists on VPIC and DeltaFS integration, and high-performance metadata implementation and demonstration.
PhD Student, University of California, Santa Cruz
Michael evaluates and designs distributed file system metadata management systems. His publications prototype ideas on CephFS, the file system that uses the Ceph distributed object store. His lab also has a special interest in storage system programmability and reproducibility in systems research. At USRC, Michael is working with Brad Settlemyer on load balancing policies for HXHIM, an HPC key-value store.