Challenges of Large Applications
 in Distributed Environments (CLADE)

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Organization

Submission

Venue

Program

Monterey Bay, California
June 25, 2007

 

GENERAL CHAIRS

Jennifer M. Schopf, Argonne National Lab
Raymond Bair, Argonne National Lab

 

PROGRAM CHAIRS

Nancy Wilkins-Diehr, San Diego Supercomputer Center
Sergiu Sanielevici, Pittsburg Supercomputing Center

 

REGISTRATION FORM

  Click to register at HPDC-2007 site
Early registration deadline is June 8, 2007

 

CALL FOR PAPERS

Download in PDF format
Download in DOC format
Download in TEXT format

 

IMPORTANT DATES

Submission Deadline: February 28, 2007
Notification of Acceptance: March 28, 2007
Final Manuscripts Due: April 25, 2007
Workshop: June 25, 2007

 

SPONSORS

 




National Science Foundation
 

 

 

The CLADE 2007 workshop will be held in conjunction with the 16th International Symposium on High Performance Distributed Computing (HPDC-16), in Monterey Bay, California

 

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

 

 

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