Parallel algorithms for multi-core & many-core processor clusters and applications in online analytical processing (OLAP) and computational biology

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The aim of parallel computing research is to create enabling technology for solving data intensive and/or computationally hard problems. Processor clusters, including clusters of multi-core and/or many-core (GPU) processors, have emerged as architectures of choice because they are built from commodity hardware and have a good price performance ratio. However, for many problems there exist no efficient parallel algorithms and parallel software that achieve satisfactory speedup and are scalable. This research program is focused on the design and implementation of efficient parallel algorithms, the interrelationship between the theoretical analysis of parallel algorithms and the performance observed on current parallel architectures, and the use of efficient parallel algorithms for parallel online analytical processing (OLAP) and parallel computational biology & bioinformatics.