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Speed improvements of peptide-spectrum matching using SIMD instructions

机译:使用SIMD指令速率改进肽谱匹配

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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:肽光谱匹配是数据库搜索方法的最耗时的部分之一,用于将串联质谱分配给肽。在这项研究中,我们使用单指令多数据(SIMD)指令开发了一种用于肽谱匹配的并行算法。与肽频谱匹配中的其他并行算法不同,我们的算法并将对单频谱和给定肽序列之间的匹配计算并行于数据库之间的计算。它也显着减少了比较操作的数量。通过使用SIMD指令避免算法内的条件分支和不必要的内存访问来获得额外的改进。开发算法的实现基于嵌入在大多数英特尔微处理器中的流SIMD扩展(SSE)技术。其他现代微处理器中也存在类似的技术。仿真结果表明,发达的算法在先前版本的实时肽谱匹配算法,RT-PSM(在质谱中的快速通信中,2006,20:1199-1208)[1]上实现了18倍的加速度。因此,可以采用开发的算法来开发用于串联质谱法的实时控制方法。

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