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Research Interests Andrew Rau-Chaplin www.cs.dal.ca/~arc arc@cs.dal.ca
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High Performance Computing Parallel algorithms architectures applications systems / implementation Benchmarking and performance evaluation
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Project 1: Data Warehousing + OLAP Datacube Generation Shared Memory Distributed Memory Partial Indexing Range search Updating Data Mining Cleaning
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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
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Project 2: Parallel Computational Biochemistry Working with Biochemists Using min. vertex cover to improve large multiple sequence alignments Parallel Clustal – Bio portal Other applications
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Project 3: Design Generation Mass Customization Automated architectural design service Geometric Design Grammars Parallel – for high throughput
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Current Graduate Students Ph.D. Peter S. Oliver B. Ying C. Todd E. (Postdoc) MCS Josh S. May G. Zoë S. MCS co-supervised
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Interested??? Read a paper – www.cs.dal.ca/~arcwww.cs.dal.ca/~arc Take my CS6702 Parallel Computing Required background: An interest in algorithms, architectures, & system programming Come see me!!!
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