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Acceleration of Tandem Mass Spectrometry Analysis Software CoCoozo using Multi-core CPUs and Graphics Processing Units

机译:使用多核CPU和图形处理单元加速串联质谱分析软件Cocoozo

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Tandem mass spectrometry, a method involving multiple steps of mass spectral selection, is widely used in various biological fields. In recent years, steady improvements have been made with respect to speed, and the number of protein databases available for analysis has rapidly increased. Consequently, computational analysis has become the bottleneck in tandem mass spectrometry. To overcome this problem, we attempted to improve the tandem mass spectrometry analysis software CoCoozo. To accelerate the program, we improved the algorithm and also incorporated utilization of multi-core CPU and GPGPU. As a result of algorithm improvements, when all mass spectral data files had precursor data, we achieved 8.9-fold speedups compared with the original software. In addition, in the case of no precursor data, by using a 12-core CPU and a GPU card we achieved 18.1-fold speedups compared with the original software.
机译:串联质谱,一种涉及多个质谱选择步骤的方法,广泛用于各种生物领域。近年来,已经对速度进行了稳定的改进,并且可用于分析的蛋白质数据库数量迅速增加。因此,计算分析已成为串联质谱中的瓶颈。为了克服这个问题,我们试图改善串联质谱分析软件Cocoozo。为了加快该计划,我们改进了算法,并加入了多核CPU和GPGPU的利用率。由于算法改进,当所有质谱数据文件具有前体数据时,我们与原始软件相比实现了8.9倍的加速。另外,在没有前体数据的情况下,通过使用12核CPU和GPU卡与原始软件相比,我们实现了18.1倍的加速。

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