Laboratory for Parallel and Distributed Computing
(LCPD)

Members

• Siang W. Song
• Markus Endler
• Dilma M. da Silva
• Francisco Reverbel
• Marco Dimas Gubitoso
• Kunio Okuda
• Alfredo vel Lejbman Goldman

Research Directions

• Scalable Parallel Algorithms
  Research and Development of parallel algorithms for distributed memory parallel machines.

• Performance Analysis of Parallel Systems
  Methods and tools for performance analysis and prediction of Distributed Shared Parallel Systems.

• Parallization through Loop Shrinking
  Development of methods to reduce instruction dependencies for loop optimization.

• Distributed System Management and Fault-tolerance (Project Sampa)
  Support for the development and on-line management of fault-tolerant distributed programs.

• Distributed Information Systems for Mobile Agents (Project SIDAM)
  System Software, Architecture, Tools and Protocols for the implementation of distributed information services for mobile clients.

• Automatic Configuration and Monitoring of Component-Based Distributed Systems (Project ACCORDS)
  Techniques for managing and configuring componments and their interaction mechanisms, enhancing system's reliability, robustness, flexibility and automatic adaptation to changing execution environments.

• Distributed Object Systems and Object Oriented Database Systems
  Integration of Distributed Object Systems (CORBA) with Object Oriented Database Systems

Graduate Students

Available Topics for Graduate and Undergraduate Projects