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The Smith-Waterman (SW) algorithm is the only optimal local sequence alignment algorithm. There are many SW implementations on FPGA, which show speedups of up to 100x as compared to a general-purpose-processor (GPP). In this paper, we propose a design of the SW traceback, which is done in parallel with the matrix fill stage and which gives the optimal alignment after once scanning through the whole...
Starting from sequential programs, we present an approach combining data reuse, multi-level MapReduce, and pipelining to automatically find the most power-efficient designs that meet speed and area constraints in the design space on Field-Programmable Gate Arrays (FPGAs). This combined approach enables trade-offs in power, speed and area: we show 63% reduction in power can be achieved with 27% increase...
We propose a new method for defragmenting the module layout of a reconfigurable device, enabled by a novel approach for dealing with communication needs between relocated modules and with inhomogeneities found in commonly used FPGAs. Our method is based on dynamic relocation of module positions during runtime, with only very little reconfiguration overhead; the objective is to maximize the length...
The imaging laser radar is fine measure equipment for TAN with the ability to get the high precision 3D terrain. A 3D terrain matching processor was needed to be designed for the specifical application. In this paper, base on the specialty of the imaging laser radar, the3D terrain matching processor was designed, with scheme of DSP+FPGA calculating engine, multi-level memory system, flexible parallel...
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