Workshop on Dynamic Distributed Data-Intensive Applications, Programming Abstractions, and Systems (3DAPAS)
3DAPAS builds upon a 3 year research theme on Distributed Programming Abstractions (DPA), which has held a series of related workshops (see: DPA Past Events) including but not limited to e-Science2008, EuroPar 2008 and the CLADE series. 3DAPAS will also draw on ideas from the ongoing 3DPAS Research Theme funded by the NSF and UK EPSRC.
Topics of interest include but are not limited to:
- Case studies of development, deployment and execution of representative 3D applications
- Programming systems, abstractions, and models for 3D applications
- What are the common, minimally complete, characteristics of 3D application?
- What are major barriers to the development, deployment, and execution of 3D applications? What are the primary challenges of 3D applications at scale?
- What patterns exist within 3D applications, and are there commonalities in the way such patterns are used?
- How can programming models, abstraction and systems for data-intensive applications be extended to support dynamic data applications?
- Tools, environments and programming support that exist to enable emerging distributed infrastructure to support the requirements of dynamic applications (including but not limited to streaming data and in-transit data analysis)
- Data-intensive dynamic workflow and in-transit data manipulation
- Abstractions and mechanisms for dynamic code deployment and "moving the code to the data"
- Application drivers for end-to-end scientific data management
- Runtime support for in-situ analysis
- System support for high end workflows
- Hybrid computing solutions for in-situ analysis
- Technologies to enable multi-platform workflows
Submission of a paper implies that at least one author will attend the workshop to present the paper, if it is accepted.
Papers must be self-contained and provide the technical substance required for the program committee to evaluate the paper's contribution. Papers should thoughtfully address all related work. Submitted papers must be original work that has not appeared in and is not under consideration for another conference or a journal. See the ACM Prior Publication Policy for more details.
- Daniel S. Katz, University of Chicago & Argonne National Laboratory, USA
- Shantenu Jha, Louisiana State University, USA & e-Science Institute, UK
- Jon Weissman, University of Minnesota, USA
- Gabrielle Allen, Louisiana State University, USA
- Malcolm Atkinson, eSI & University of Edinburgh, UK
- Henri Bal, Vrije Universiteit, Netherlands
- Jon Blower, Reading e-Science Centre, University of Reading, UK
- Shawn Brown, University of Pittsburgh & Pittsburgh Supercomputing Center, USA
- Simon Dobson, University of St. Andrews, UK
- Dennis Gannon, Microsoft, USA
- Keith R. Jackson, Lawrence Berkeley National Lab, USA
- John R. Johnson, Pacific Northwest National Laboratory, USA
- Scott Klasky, University of Tennessee & Oak Ridge National Laboratory, USA
- Bertram Ludäscher, University of California, Davis, USA
- Abani Patra, University of Buffalo, USA
- Manish Parashar, Rutgers & NSF, USA
- Omer Rana, Cardiff University, UK
- Joel Saltz, Emory University, USA
- Domenico Talia, Universita' della Calabria, Italy