Day 1, March 26
Introduction and opening
remarks
Arie Shoshani
Comments by DOE Program Manager
John Van Rosendale
Astrophysics Perspective
Tony
Mezzacappa, ORNL Climate Perspective
John
Drake, ORNL, Data Requirements for Climate and Carbon Research
HEP Perspective
Doug Olson,
LBNL, Scientific Data Management:An Incomplete Experimental HENP Perspective
Biology Perspective
Dave
Nelson, LLNL, Managing and Exploiting Post-Genomics Era Data
Putting software into production
Randy
Burris, ORNL, Deployment, Deployment, Deployment
Reports from projects
(P1) Heterogeneous Data Access
Area Leader: Terence Critchlow
- Supporting Heterogeneous
Data Access in Genomics
Presenter: Terence Critchlow
-Context-sensitive
Service Composition for Support of Scientific Workflows
Presenter: Mladen A. Vouk
-XWRAPComposer: A wrapper
generation system for Integrating Bioinformatics Data Sources
Presenter: Ling Liu
- Constructing
Workflows by Integrating Interactive Information Sources
Presenters: Amarnath Gupta & Ilkay Altintas
P2) Data Mining and Access Pattern Discovery
Area Leader: Nagiza Samatova
- ASPECT: Adaptable
Simulation Product Exploration and Control Toolkit
presenter: Nagiza Samatova
- Dimension Reduction and
Sampling
presenter: Imola Fodor
- Discovery
of Access Patterns to Scientific Simulation Data
presenter: Ghaleb Abdulla
(P3) Efficient Access from Large Datasets
area Leader: Arie Shoshani
- Supporting Ad-hoc Data
Exploration for Large Scientific Databases
presenter: Arie Shoshani
- Efficient Bitmap Indexing
Techniques for Very Large Datasets
presenter: John Wu
- Shared Disk File Caching
Taking into Account Delays in Space Reservations
Transfer, and processing
presenter: Ekow Otoo
- Optimizing Shared Access
to Tertiary Storage
presenter: Randy Burris
(P4) Parallel Disk Access & Grid-IO
Area Leaders: Bill Gropp and Alok Choudhary
- Parallel and
Grid I/O Infrastructure
presenter: Rob Ross
- Enabling High Performance Application
I/O
presenter: Wei-keng Liao
Day 2, March 27
Project Breakout meetings
Reports from breakout meeting:
(P1) Heterogeneous
Data Access
(P2) Data Mining and Access Pattern Discovery
(P3) Efficient Access from
Large Datasets
(P4) Parallel
Disk Access & Grid-IO