SMP Algorithms -Parallel computing has long offered the promise of very high performance, but has delivered it only in a narrow range of applications. The goal of this research is to develop, implement, assess, and refine algorithms for parallel computing on the emerging generation of symmetric multiprocessor architectures, with emphasis on science-driven problems.
Phylogenies are crucial tools in understanding biological evolution and biological mechanisms.
This work seeks to develop efficient parallel methods for the reconstruction of optimal phylogenies for large problems using high-performance computing platforms. This research is in collaboration with the UNM Sevilleta NSF Long-Term Ecological Research site. The simulation employs parallel computations of physically realistic models of water and energy availability, detailed terrain models, and ecologically realistic representations of resource use by plants.