PDSI Principal Investigators
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Garth Gibson, Carnegie Mellon University (Institute PI) Garth is interested in large-scale parallelism in computer systems and its implications on application performance, operating system design, fault tolerance and data center manageability. His particular interests focus on secondary memory system technologies such as magnetic disk design and optimization, parallel and distributed file systems, and local, storage and system area networking. He has a strong interest in shepherding technological advances from blackboard through standards and to commercial reality. The principal contributions of Garth’s research include Redundant Arrays of Inexpensive Disks (RAID), Informed Prefetching and Caching (TIP) and Network-Attached Secure Disks (NASD), now an ANSI SCSI command set standard (OSD). All have stimulated derivative research and development in academia and industry. Garth joined the faculty of CMU's Computer Science Department in 1991 and in 1993 founded CMU's Parallel Data Laboratory (PDL), which he led until April 1999. In 1999 Garth started Panasas Inc., a scalable storage cluster company using an object storage architecture and providing 100s of TB of high-performance storage in a single management domain for national laboratory, energy sector, auto/aero-design, life sciences, financial modeling, digital animation, and engineering design markets. In 2006 he founded the Petascale Data Storage Institute (PDSI) for the Department of Energy's Scientific Discovery through Advanced Computing (SciDAC). The Institute gathers together leading experts in leadership class supercomputing storage systems to address the challenges involved in moving from today's terascale computers to the petascale computers of the next decade. Garth received his Ph.D. and M.Sc. in Computer Science in 1991 and 1987, respectively, from the University of California at Berkeley. He received a Bachelor of Mathematics in Computer Science and Applied Mathematics in 1983 from the University of Waterloo in Ontario, Canada. |
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Darrell Long, University of California at Santa Cruz Darrell D. E. Long, Fellow IEEE, leads the Storage Systems Research Center at UCSC in the Jack Baskin School of Engineering. He is a Professor of Computer Science and holds the Kumar Malavalli Endowed Chair. His current research interests in the storage systems area include high performance storage systems, archival storage systems and view-based file systems. His research also includes computer system reliability, video-on-demand, applied machine learning, mobile computing and computer security. Darrell received his B.S. degree in Computer Science from San Diego State University in 1984, and his M.S. and Ph.D. degrees in Computer Science and Engineering from the University of California, San Diego in 1986 and 1988 respectively. |
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Peter Honeyman, University of Michigan at Ann Arbor Peter Honeyman is Research Professor of Information at the University of Michigan where he is Scientific Director of the Center for Information Technology Integration. He is also an Adjunct Professor of Electrical Engineering and Computer Science. As an experimental computer scientist, Honeyman builds middleware for file systems, security, and mobile computing. He has been instrumental in software projects including Honey DanBer UUCP, PathAlias, MacNFS, Disconnected AFS, and WebCard, the first Internet smart card. Current work centers on CITI's Linux-based open source reference implementation of NFSv4 and extensions for high end computing. Honeyman holds the B.G.S. (with distinction) from the University of Michigan and M.S.E., M.A., and Ph.D. degrees from Princeton University. After completing doctoral studies in relational database theory, he joined Bell Labs as a Member of Technical Staff in computer systems research, then returned to Princeton as an Assistant Professor of Computer Science. |
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Gary Grider, Los Alamos National Laboratory Gary currently is the Deputy Division Leader of the High Performance Computing (HPC) Division at Los Alamos National Laboratory, where he is responsible for managing the personnel and processes required to stand up and operate major supercomputing systems, networks, and storage systems for the Laboratory for both the DOE/NNSA Advanced Simulation and Computing (ASC) program and LANL institutional HPC environments. One of his main tasks is conducting and sponsoring R&D to keep the new technology pipeline full and provide solutions to problems in the Lab’s HPC environment. Gary is also the LANL lead in coordinating DOE/NNSA alliances with universities in the HPC I/O and file systems area. He is one of the principal leaders of a small group of multi-agency HPC I/O experts that guide the government in its I/O related computer science R&D investments through the High End Computing Interagency Working Group HECIWG, and is the Director of the Los Alamos/UCSC Institute for Scientific Scalable Data Management and the Los Alamos/CMU Institute for Reliable High Performance Information Technology. He is also the LANL PI for the Petascale Data Storage Institute, a SciDAC2 Institute award winning project. Before working for Los Alamos, Gary spent 10 years with IBM at Los Alamos working on advanced product development and test and 5 years with Sandia National Laboratories working on HPC storage systems. Gary holds a B.S. in Electrical Engineering along with a registration for certified engineer from Oklahoma State University and the State of Oklahoma. He also received an M.B.A. with emphasis in Management Information Systems, Statistics, Physics, and Mathematics from Oklahoma State University. By far the bulk of Gary's knowledge comes from daily hands on research, design, prototyping, development and testing of new systems and hardware, and through mentoring of people and projects within the high performance storage and network areas. |
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John Shalf, National Energy Research Scientific Computing Center John Shalf's background is in electrical engineering: he spent time in graduate school at Virginia Tech working on a C-compiler for the SPLASH-2 FPGA-based computing system, and at Spatial Positioning Systems Inc. (now ArcSecond) he worked on embedded computer systems. John first got started in HPC at the National Center for Supercomputing Applications (NCSA) in 1994, where he provided software engineering support for a number of scientific applications groups. While working for the General Relativity Group at the Albert Einstein Institute in Potsdam Germany, he helped develop the first implementation of the Cactus Computational Toolkit, which is used for numerical solutions to Einstein's equations for General Relativity and which enables modeling of black holes, neutron stars, and boson stars. He also developed the I/O infrastructure for Cactus, including a high performance self-describing file format for storing AMR data called FlexIO. John joined Berkeley Lab in 2000 and has worked in the Visualization Group, on the RAGE robot, which won an R&D100 Award in 2001, and on various projects in the Future Technologies Group. He a co-author of the "View from Berkeley" whitepaper with David Patterson, Kathy Yelick, and a number of UC Berkeley faculty. He is currently Group leader for the NERSC System Architecture Group, which analyzes the requirements of the DOE OASCR scientific computing workload and how those requirements affect computer architecture decisions for future HPC systems. |
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Philip Roth, Oak Ridge National Laboratory Phil Roth is a founding member of the Future Technologies Group led by Jeffrey Vetter at Oak Ridge National Laboratory. His areas of interest include, among other things, performance measurement, analysis and tools, parallel and distributed computing environments, and storage and I/O. Phil earned his Ph.D. in computer science from the University of Wisconsin-Madison. While at Wisconsin, he was a member of the Paradyn performance tool research group led by Prof. Bart Miller, focusing on scalable on-line performance analysis techniques. Phil's M.S. in computer science is from the University of Illinois at Urbana-Champaign, and his B.S. in computer science and mathematics from the University of Iowa. |
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Evan Felix, Pacific Northwest National Laboratory Evan J. Felix is a Senior Research Scientist with the Environment Molecular Sciences Laboratory at the Pacific Northwest National Laboratory. Here, he was instrumental in designing, debugging and building the Lustre file system on HPCS2, an 11.4 TF supercomputer. He has also been a key member in building and backing up a 300 TB Lustre archive system. Prior to his work with PNNL, Evan was a Storage Firmware/Software Engineer with Hewlett Packard, where he worked in the hardware AutoRAID disk array team responsible for developing a mid-level fibre channel disk array. Evan holds a Bachelor of Science degree from Utah State University and continues to advance his education with courses from Stanford, Boise State University, and |
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Lee Ward, Sandia National Laboratory Lee Ward is a Principal Member of Sandia National Laboratory’s Technical Staff, engaged in research and development, primarily in the areas of file IO, file systems, and system management tools. His contributions include the compute node virtual file system layer for Cray's XT3 product, the enfs file I/O service for Sandia's Cplant™ supercomputer and the design and development of a hierarchical, distributed machine discovery and control system. Previously, Lee was a Technical Director at Advanced Engineering Research Associates in Arlington, VA, where he was responsible for computing technology identification, evaluation and integration issues. |
