Welcome to the Parallel Computing & Bioinformatics Research Lab.

My research program is focused on (1) the design and implementation of efficient parallel algorithms, (2) the interrelationship between the theoretical analysis of parallel algorithms and the performance observed on current parallel architectures, and (3) the use of efficient parallel algorithms for large-scale data analytics and computational biology/bioinformatics.

F. Dehne

Research

• Parallel Algorithms for Multi-Core Processors and GPUs
• Parallel Algorithms for Processor Clusters and Cloud Computing
• Parallel Large-Scale Data Analytics: Online Analytical Processing (OLAP)
• Parallel Computational Biology & Bioinformatics
• Parallel Computational Weld Mechanics

Research Team

• Research Collaborators
• Graduate Students and Postdocs

Research Support

• Research Grants & Awards

Research Infrastructure

• Multi processor lab cluster
• 256 processor PC cluster (HPCVL)
• 1168 processor Victoria Falls cluster (HPCVL)

Research Results

• Software
• Publications

Citations  

Research supported by 

Teaching

• PhD and Master Thesis Supervision
• Parallel Algorithms & Applications (grad. course)
  
• Parallel Bioinformatics (grad. course)
• Parallel Programming for Clusters and Multi-Core Processors (undergrad. course)
• Abstract Data Types and Algorithms (undergrad. course)

Service

Editorial Boards

• IEEE Transactions on Computers  (2004 - 2009)
• Journal of Bioinformatics Research and Applications  (2004 - present)
• Journal of Data Warehousing and Mining  (2004 - present)
• Information Processing Letters  (1989 - 2008)
• Journal of Parallel Algorithms and Applications  (1992 - 2005)

Organizations & Committees

• Fellow of the IBM Centre For Advanced Studies Canada
• Senior Member, IEEE
• Co-Founder, Algorithms and Data Structures Symposium (WADS)
• IEEE Technical Committee on Parallel Processing (Vice-Chair: 2003-2006)
• ACM SPAA Steering Committee
• Various program committees

University Management

• Director (Head), School of Computer Science (2000-2003 & 2006-2008)