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Schedule: November 12-18th 2005
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Workshop on High Performance Compute Clustering with Windows

Session: High Performance Compute Clustering with Windows

Event Type: Workshop

Time: 8:30am - 12:00pm

Speaker(s): Jack Dongarra, David Lifka

Location: 202


With growing use of Microsoft Windows technologies in cluster computing we have found that there is an increasing need in the community for opportunities for the exchange of experiences. Hosting a workshop on this topic at Supercomputer 05 will provide an excellent opportunity for users and potential users to exchange ideas, experiences, and knowledge.

Goals of this workshop are: - To promote the peer exchange of experiences with Windows-based Cluster Computing - To provide an opportunity for the community building efforts under way in the Windows-based cluster computing world. - To provide access to experts in the field of management of large installations of Windows clusters - To lay the ground work for future peer-reviewed, research & experiences oriented workshops

Agenda Directions on Windows Clusters -Windows HPC Roadmap - product plans & directions -Key Technologies that can be used with Windows HPC

Developing Applications -Dev Environment/Debugging -Compilers for Windows -Delegations and Secure Startup

Roundtable on Managing Clusters -Cluster Admin, Deploying, updates (patches), licensing, etc -Dedicated, Cycle scavenging, & hybrid strategies -Security considerations for managing clusters

Enabling Seamless HPC -Using Web Services for cluster access -Web Service enabled HPC -Custom web interfaces for Scientists

Chair/Speaker Details:

Jack Dongarra
University of Tennessee
Jack Dongarra received a Bachelor of Science in Mathematics from Chicago State University in 1972 and a Master of Science in Computer Science from the Illinois Institute of Technology in 1973. He received his Ph.D. in Applied Mathematics from the University of New Mexico in 1980. He worked at the Argonne National Laboratory until 1989, becoming a senior scientist. He now holds an appointment as University Distinguished Professor of Computer Science in the Computer Science Department at the University of Tennessee, has the position of a Distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), and an Adjunct Professor in the Computer Science Department at Rice University. He specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced-computer architectures, programming methodology, and tools for parallel computers. His research includes the development, testing and documentation of high quality mathematical software. He has contributed to the design and implementation of the following open source software packages and systems: EISPACK, LINPACK, the BLAS, LAPACK, ScaLAPACK, Netlib, PVM, MPI, NetSolve, Top500, ATLAS, and PAPI. He has published approximately 200 articles, papers, reports and technical memoranda and he is coauthor of several books. He was awarded the IEEE Sid Fernbach Award in 2004 for his contributions in the application of high performance computers using innovative approaches. He is a Fellow of the AAAS, ACM, and the IEEE and a member of the National Academy of Engineering.

David Lifka
Cornell Theory Center
David Lifka is the Chief Technical Officer of the Cornell Theory Center (CTC) and is an expert in Windows high performance computing. CTC, headquartered in Ithaca, NY with offices in Manhattan, operates the world’s largest Windows high-performance computing complex. Lifka led CTC’s technical move from proprietary UNIX to Windows-based industry standard high performance computing, working with strategic partners, including Microsoft, Intel, Dell, Unisys, Giganet, and ADIC. Lifka came to CTC from Argonne National Laboratory in 1995. His areas of expertise include scheduling and resource management systems, UNIX-to-Windows migration, and HPC services. Lifka’s vision is that HPC must become pervasive and as easy to use out- of-the-box as a Windows PC to make it viable a viable tool for more than academics and research laboratories. The key to achieving this vision is to build on key Microsoft technologies such as SQL Server and the .Net Framework – and CTC is leading the way. Lifka is actively involved with, a new HPC community focused on Data-Driven Science and the issues surrounding next generation HPC. Lifka has a Ph.D in Computer Science from the Illinois Institute of Technology and serves on a number of corporate and IT advisory boards.