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Speed improvements of peptide-spectrum matching using SIMD instructions

机译:使用SIMD指令加快肽谱匹配的速度

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Peptide-spectrum matching is one of the most time-consuming portion of the database search method for assignment of tandem mass spectra to peptides. In this study, we develop a parallel algorithm for peptide-spectrum matching using Single-Instruction Multiple-Data (SIMD) instructions. Unlike other parallel algorithms in peptide-spectrum matching, our algorithm parallelizes the computation of matches between a single spectrum and a given peptide sequence from the database. It also significantly reduces the number of comparison operations. Extra improvements are obtained by using SIMD instructions to avoid conditional branches and unnecessary memory access within the algorithm. The implementation of the developed algorithm is based on the Streaming SIMD Extensions (SSE) technology that is embedded in most Intel microprocessors. Similar technology also exists in other modern microprocessors. A simulation shows that the developed algorithm achieves an eighteen-fold speedup over the previous version of Real-Time Peptide-Spectrum Matching algorithm, RT-PSM (in Rapid Communication in Mass Spectrometry, 2006, 20: 1199–1208) [1]. Therefore, the developed algorithm can be employed to develop real-time control methods for tandem mass spectrometry.
机译:肽谱匹配是将串联质谱分配给肽的数据库搜索方法中最耗时的部分之一。在这项研究中,我们开发了一种使用单指令多数据(SIMD)指令的肽谱匹配并行算法。与肽谱匹配中的其他并行算法不同,我们的算法可从数据库中并行化单个光谱与给定肽序列之间的匹配计算。它还显着减少了比较操作的数量。通过使用SIMD指令可以避免在算法内进行条件转移和不必要的内存访问,从而获得额外的改进。所开发算法的实现基于大多数Intel微处理器中嵌入的Streaming SIMD Extensions(SSE)技术。在其他现代微处理器中也存在类似的技术。仿真显示,与以前版本的实时肽谱匹配算法RT-PSM(在质谱快速通信中,2006,20:1199-1208)相比,开发的算法可实现18倍的加速。因此,所开发的算法可用于开发串联质谱的实时控制方法。

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