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Explore research topics in Parallel Computing including algorithms, architectures, and applications. Projects focus on Data Warehousing, Computational Biochemistry, and Design Generation. Potential thesis topics and graduate student information provided.
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Research Interests Andrew Rau-Chaplin www.cs.dal.ca/~arc arc@cs.dal.ca
High Performance Computing • Parallel • algorithms • architectures • applications • systems / implementation • Benchmarking and performance evaluation
Project 1: Data Warehousing + OLAP • Datacube Generation • Shared Memory • Distributed Memory • Partial • Indexing • Range search • Updating • Data • Mining • Cleaning
Research Goal: Building a Parallel 100 Terabyte OLAP server Potential Thesis Topics • Data representation, space filling curves, compression and indexing • Parallel Iceberg & Star cubes • Parallel query processing • Integration with standard OLAP query languages • Comparisons with commercial systems
Project 2: Parallel Computational Biochemistry • Working with Biochemists • Using min. vertex cover to improve large multiple sequence alignments • Parallel Clustal – Bio portal • Other applications
Project 3: Design Generation • Mass Customization • Automated architectural design service • Geometric Design Grammars • Parallel – for high throughput
Current Graduate Students • Ph.D. • Peter S. • Oliver B. • Ying C. • Todd E. (Postdoc) • MCS • Josh S. • May G. • Zoë S. • MCS co-supervised
Interested??? • Read a paper – www.cs.dal.ca/~arc • Take my CS6702 Parallel Computing • Required background: An interest in algorithms, architectures, & system programming • Come see me!!!