Research Interests Andrew Rau-Chaplin
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 – Take my CS6702 Parallel Computing Required background: An interest in algorithms, architectures, & system programming Come see me!!!