Making a Friendlier FPGA | GenomeWeb

Making a Friendlier FPGA

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For most, the thought of programming an FPGA seems like a Sisyphean task best left to those fluent in hardware design. Even for the experts, implementing a complex algorithm onto an FPGA can sometimes take upward of several months. It’s precisely this difficulty that has kept many developers and researchers looking to friendly options, like CPUs and GPUs, to address their high-performance computing needs. “That’s always been the problem,” says Martin Gollery, FPGA expert and associate professor of bioinformatics at the University of Nevada.

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