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Execution Performance Analysis of the ABySS Genome Sequence Assembler using Sca lasca on the K Computer

机译:在K计算机上使用SCA Lasca的深渊基因组序列汇编器的执行性能分析

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Performance analysis of the ABySS genome sequence assembler (ABYSS-P) executing on the K computer with up to 8192 compute nodes is described which identified issues that limited scalability to less than 1024 compute nodes and required prohibitive message buffer memory with 16384 or more compute nodes. The open-source Scalasca toolset was employed to analyse executions, revealing the impact of massive amounts of MPI point-to-point communication used particularly for master/worker process coordination, and inefficient parallel file operations that manifest as waiting time at later MPI collective synchronisations and communications. Initial remediation via use of collective communication operations and alternate strategies for parallel file handling show large performance and scalability improvements, with partial executions validated on the full 82,944 compute nodes of the K computer.
机译:描述了在具有高达8192个计算节点的K计算机上执行的深度基因组序列汇编器(Abyss-P)的性能分析,其识别可扩展性为小于1024计算节点的缩放性和具有16384或更多计算节点的禁止消息缓冲存储器的问题。采用开源Scalasca工具集来分析执行,揭示了大量MPI点对点通信的影响,特别是用于主/工人流程协调,并且在以后的MPI集体同步时的等待时间(如等待时间)的低效并行文件操作和通信。通过使用集体通信操作以及用于并行文件处理的替代策略的初始修复显示出大的性能和可扩展性改进,部分执行验证了K计算机的完整82,944计算节点。

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