A performance comparison of data and memory allocation strategies for sequence aligners on NUMA architectures
作者: Josefina LenisMiquel Angel Senar
作者单位: 1Universitat Autònoma de Barcelona
刊名: Cluster Computing, 2017, Vol.20 (3), pp.1909-1924
来源数据库: Springer Nature Journal
DOI: 10.1007/s10586-017-1015-0
关键词: NUMAData partitioningMemory system performanceGenomic alignersBWABowtieGEMSNAP
原始语种摘要: Over the last several years, many sequence alignment tools have appeared and become popular for the fast evolution of next generation sequencing technologies. Obviously, researchers that use such tools are interested in getting maximum performance when they execute them in modern infrastructures. Today’s NUMA (Non-uniform memory access) architectures present major challenges in getting such applications to achieve good scalability as more processors/cores are used. The memory system in NUMA systems shows a high complexity and may be the main cause for the loss of an application’s performance. The existence of several memory banks in NUMA systems implies a logical increase in latency associated with the accesses of a given processor to a remote bank. This phenomenon is usually attenuated...
全文获取路径: Springer Nature  (合作)
影响因子:0.776 (2012)

  • NUMA 非均匀存储器存取
  • memory 记忆
  • partitioning 分块
  • performance 性能
  • allocation 分配
  • popular 普及
  • sequence 次序
  • application 申请
  • policy 政策
  • achieve 达到