Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The phylogenetic parsimony function is a popular, discrete criterion for reconstructing evolutionary trees based on molecular sequence data. Parsimony strives to find the phylogenetic tree that explains the evolutionary history of organisms by the least number of mutations. Because parsimony is a discrete function, it should fit ll to FPGAs.  present a versatile FPGA implementation of the parsimony function and compare its performance to a highly optimized SSE3- and AVX-vectorized software implementation.  find that, because of a particular constellation in our lab, the speedups that can be achieved by using an FPGA, are substantially less impressive, than usually reported in papers on FPGA acceleration of bioinformatics kernels.  conclude that, a competitive spirit beten SW and HW application developers can contribute toward obtaining more objective performance comparisons.
['Nikolaos Alachiotis', 'Alexandros Stamatakis']
I am writing a research paper on a idea FPGA Acceleration of the Phylogenetic Parsimony Kernel
[{"from": "human", "value": "I am writing a research paper on a idea FPGA Acceleration of the Phylogenetic Parsimony Kernel"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The phylogenetic parsimony function is a popular, discrete criterion for reconstructing evolutionary trees based on molecular sequence data. Parsimony strives to find the phylogenetic tree that explains the evolutionary history of organisms by the least number of mutations. Because parsimony is a discrete function, it should fit ll to FPGAs.  present a versatile FPGA implementation of the parsimony function and compare its performance to a highly optimized SSE3- and AVX-vectorized software implementation.  find that, because of a particular constellation in our lab, the speedups that can be achieved by using an FPGA, are substantially less impressive, than usually reported in papers on FPGA acceleration of bioinformatics kernels.  conclude that, a competitive spirit beten SW and HW application developers can contribute toward obtaining more objective performance comparisons."}]