IEEE Trans Biomed Circuits Syst. 2009 Jun;3(3):142-9. doi: 10.1109/TBCAS.2008.2010945.
The reconfigurable computing paradigm, which exploits the flexibility and versatility of field-programmable gate arrays (FPGAs), has emerged as a powerful solution for speeding up time-critical algorithms. This paper describes a reconfigurable computing solution for processing raw mass spectrometric data generated by MALDI-TOF instruments. The hardware-implemented algorithms for denoising, baseline correction, peak identification, and deisotoping, running on a Xilinx Virtex-2 FPGA at 180 MHz, generate a mass fingerprint that is over 100 times faster than an equivalent algorithm written in C, running on a Dual 3-GHz Xeon server. The results obtained using the FPGA implementation are virtually identical to those generated by a commercial software package MassLynx.
可重构计算范式利用现场可编程门阵列（FPGA）的灵活性和多功能性，已成为加速时间关键算法的强大解决方案。本文描述了一种用于处理 MALDI-TOF 仪器生成的原始质谱数据的可重构计算解决方案。在 180 MHz 的 Xilinx Virtex-2 FPGA 上运行的硬件实现算法，用于去噪、基线校正、峰识别和解卷积，生成的质量指纹比等效的 C 语言算法在双 3GHz Xeon 服务器上运行时快 100 多倍。FPGA 实现获得的结果与商业软件包 MassLynx 生成的结果几乎完全相同。
