Title :
A Special-Purpose Architecture for Solving the Breakpoint Median Problem
Author :
Bakos, Jason D. ; Elenis, Panormitis E.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of South Carolina, Columbia, SC
Abstract :
In this paper, we describe the design for a co-processor for whole-genome phylogenetic reconstruction. Our current design performs a parallelized breakpoint median computation, which is an expensive component of the overall application. When implemented on a field-programmable gate array (FPGA), our hardware breakpoint median achieves a maximum speedup of 1005times over software. When the coprocessor is used to accelerate the entire reconstruction procedure, we achieve a maximum application speedup of 417times. The results in this paper suggest that FPGA-based acceleration is a promising approach for computationally expensive phylogenetic problems, in spite of the fact that the involved algorithms are based on complex, control-dependent combinatorial optimization.
Keywords :
combinatorial mathematics; coprocessors; field programmable gate arrays; optimisation; combinatorial optimization; coprocessor design; field programmable gate array; hardware breakpoint median; special-purpose architecture; whole-genome phylogenetic reconstruction; Acceleration; Application software; Biology computing; Computational biology; Computer architecture; Coprocessors; Field programmable gate arrays; Hardware; Phylogeny; Signal processing algorithms; Bioinformatics; computational biology; field-programmable gate array (FPGA); phylogenetic reconstruction; reconfigurable computing;
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
DOI :
10.1109/TVLSI.2008.2001298