Challenges of Large Applications
 in Distributed Environments (CLADE)






Paris, France
June 19, 2006



Raymond Bair, Argonne National Lab



Thomas J. Hacker, Indiana University
Jennifer Schopf, Argonne/NeSC



  Click to register at HPDC-15 site
Early registration deadline is May 31, 2006



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Submission Deadline: February 8, 2006
Notification of Acceptance: March 22, 2006
Final Manuscripts Due: April 19, 2006
Workshop: June 19, 2006




National Science Foundation


Final Program Now Available

Keynote: Dr. Terry Harmer
Technical Director of the Belfast e-Science Centre
Gridcast - a Next Generation Broadcasting Infrastructure?

Invited: Dr. Steven Newhouse
Director, Open Middleware Infrastructure Institute
Gathering e-Infrastructure Requirements to Support e-Research


The CLADE 2006 workshop will be held in conjunction with the 15th International Symposium on High Performance Distributed Computing (HPDC-15), in Paris, France


A new era of large scale, distributed applications are exploiting advances in networking, high-end computers, large data stores and middleware capabilities to address challenging problems.á This workshop focuses on the complex issues that arise in large-scale applications of distributed computation, and promotes the development of innovative applications that effectively use distributed resources, e.g., to adapt to heterogeneity and dynamics in space and time. This includes recent results on the development, deployment, management and evaluations of large scale applications in science, engineering, medicine, business, economics, education, and other disciplines, on Grids and other distributed heterogeneous and dynamic computing environments..


Topics of interest to this workshop include (but are not limited to) applications that illustrate advances in the following areas:


  • Large-scale distributed applications, both computational and data-centric
  • Autonomic applications and runtime systems
  • Application-specific portals in distributed environments
  • Distributed problem-solving environments
  • Distributed, collaborative science applications
  • Large, distributed data analysis
  • Applications with heterogeneous spatial and temporal characteristics
  • Distributed, multidimensional, dynamically adaptive applications
  • Applications of new theories and tools for constructing adaptive software systems
  • Variable granularity environments
  • Examples of distributed applications benefiting from advances in
    • Runtime support for intelligent, adaptive systems
    • Programming models for heterogeneous and dynamic computation
    • Portability, quality of service, or fault-tolerance in cluster and Grid computation
    • Resource management, dynamic scheduling or load balancing in heterogeneous environments



ęCLADE, 2006 all rights reserved