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  • gramática - O termo num numa está correto? - Portuguese Language . . .
    A gramaticalidade de num e numa pode ser confirmada em qualquer dicionário Por exemplo no Aulete (com abreviaturas desabreviadas): 1 Contração da preposição em com o artigo indefinido um: Vive num sítio no interior 2 Contração da preposição em com o numeral um: Num dos dedos havia a marca do anel
  • What is -lnuma and what program uses it for compilation?
    OpenMPI, and I think mpich2, uses libnuma (`a simple programming interface to the NUMA (Non Uniform Memory Access) policy supported by the Linux kernel') for memory affinity -- to ensure that the memory for a particular MPI task stays close to the core that the task is running on, as vs being kept in cache on another socket entirely
  • uso de palavras - Sobre a informalidade de «num», «numa» versus «em um . . .
    Dei-me conta recentemente que a contração da preposição em com os pronomes indefinidos — num, numa e plurais — é no Brasil por muitos considerada apropriada apenas em registos informais e tem vindo a ser substituída na escrita por em um, em uma, etc Isto causou-me grande surpresa, pois em Portugal usa-se a forma separada só nalgumas
  • linux - How do I know if my server has NUMA? - Stack Overflow
    For me, dmesg also lacks mention of "NUMA", but I have no access to var log dmesg which need root privilege I run find proc|grep -i numa and saw some numa_maps files I guess this is also a symbol that NUMA is enabled –
  • caching - Whats the difference between Sub-NUMA Clustering and . . .
    In the technical overview published by Intel, "Sub-NUMA Clustering" and "Hemisphere and Quadrant Modes" are described separately But the main difference between them is not clear In this answer, it says that "Inside quadrant or Hemisphere mode, the same LLC mapping is done as SNC, but it is exposed as one numa domain and one physical memory map "
  • Your kernel may have been built without NUMA support
    I have Jetson TX2, python 2 7, Tensorflow 1 5, CUDA 9 0 Tensorflow seems to be working but everytime, I run the program, I get this warning:
  • Which architecture to call Non-uniform memory access (NUMA)?
    Technically, NUMA should probably only be used to describe non-uniform access latency or bandwidth to main memory (If the NUMA factor [latency far latency near or bandwidth far bandwidth near] is small [e g , comparable to dynamic variability due to DRAM row misses, buffering, etc ], then the system might still be considered UMA )
  • How does NUMA architecture affect the performance of ActivePivot?
    Also when compacting the heap the NUMA aware JVM avoids moving large data chunks between nodes (and reduces the length of stop-the-world events) So on any NUMA hardware and for any Java application the -XX:+UseNUMA option should probably be enabled But for ActivePivot that does not help much: ActivePivot is an in-memory database




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