The first annual Microsoft Scientific Data Intensive Computing Workshop 2004 will be held May 25-26, 2004 in Bellevue, Washington. The Workshop is hosted by Microsoft Research in collaboration with the Cornell Theory Center. We are making preparations for up to 75 researchers and practitioners from the computational sciences working on data intensive scientific computing.

With the explosion of data in the computational sciences, there is an opportunity for domain experts to benefit from recent advances in database, web services and .NET technologies to enable better sharing of information and data (including federation); application of computational resources; and performance for data-intensive applications. This in turn, enables scientists to focus on their research instead of the infrastructure.

This workshop looks to bring together researchers from the many computational sciences including computational astronomy, bioinformatics and computational biology, material sciences, physics, archeology, oceanography and others to discuss their experiences with data intensive computing and to share best practices.

This workshop also provides a unique opportunity to learn and affect what is happening in the realm of data intensive scientific computing within Microsoft. Attendees will learn first hand from early adopters using Windows, .NET, SQL Server and web services in these problem spaces as well as explore in-depth how modern database technologies and techniques are being applied to scientific computing. By providing a forum for scientists and researchers to share their experiences and expertise with the wider academic and research communities, this workshop will foster collaboration, facilitate the sharing of software components and techniques, and establish a vision for Microsoft Windows and .NET in data intensive scientific computing.
 

Workshop Agenda & Slides

Resources & Related Publications

Keynote:
20 Questions to a Better Application
    Jim Gray:  Distinguished Engineer, Microsoft Research

Talks & Speakers:
Data Explosion: Astrophysics with Terabytes of Data
    Alex Szalay, Professor, Department of Physics and Astronomy, Johns Hopkins University

The TerraService: programmatic access to 21TB geospatial data
    Tom Barclay, Researcher, Microsoft Research

Data Intensive Computing, Driving the Future of HPC
    Dave Lifka, CTO, Cornell Theory Center

Case Study: FEM using parallel SQL Server
    Gerd Heber, Sr. Researcher, Cornell Theory Center

Modeling scientific data in a relational database
    Shirley Cohen, Sr. Software Developer, Texas Advanced Computing Center (TACC)

Panel: The Technical Computing Desktop
    Murray Sargent, Senior Software Design Engineer, Microsoft Corporation, RichEdit engine
    Greg Quinn, Researcher, San Diego Supercomputer Center at UCSD, The Notebook Project
    John SanGiovanni, Technical Evangelist, Microsoft Research, Mobile Computing
    Gully Brown, USC Brain Project, University of Southern California

Windows HPC
    Kyril Faenov, Director, High Performance Computing

The Future of Web Services
   Felipe Cabrera, Architect, Advanced Web Services

Visual Studio Futures - "Whidbey" overview
    OpenMP, Parallel debugging in Visual Studio

Panel: Collaboration Tools for Scientific Computing
    Chris Moffatt, Lead Program Manager, Microsoft Research, ConferenceXP Project
    Ivan Judson, Sr. Software Developer, Futures Laboratory, Argonne National Lab
    John McGee, Senior Project Manager, Information Sciences Institute, SharePoint

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