Performance Analysis and Tuning â Part 1 - Red Hat Summit

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numad aligns process memory and CPU threadswithin nodesBefore numadAfter numadNode 0 Node 1 Node 2 Node 3Node 0 Node 1 Node 2 Node 3Process 37Process 29Process 19Process 61Proc29Proc19 Proc61Proc37
Numad - aligning memory and threads in nodes:Reduces memory latency, improves determinism
Page 2 and 3: Performance Analysis andTuning - Pa
Page 4 and 5: Red Hat Enterprise Linux: Scale Up
Page 6 and 7: Red Hat Enterprise Linux 6Benchmark
Page 8 and 9: Red Hat Enterprise Linux 6.4 vs Win
Page 10 and 11: Red Hat Enterprise Linux 6Scheduler
Page 12 and 13: Load Balancing●●●●●Schedu
Page 14 and 15: sched_child_runs_first●●●fork
Page 16 and 17: 2MB standard Hugepages# echo 2000 >
Page 18 and 19: Transparent Hugepagesecho never > /
Page 20 and 21: 32-bitMemory Zones64-bitUp to 64 GB
Page 22 and 23: Per Node/Zone split LRU Paging Dyna
Page 24 and 25: Typical System Building BlockMemory
Page 26 and 27: Four NUMA node system,fully-connect
Page 28 and 29: Per NUMA-Node ResourcesMemory zones
Page 30 and 31: zone_reclaim_mode●●●●Contro
Page 32 and 33: Visualize CPUs via lstopo(from hwlo
Page 34 and 35: Sample remote access latencies4 soc
Page 36 and 37: So, what's the NUMA problem?●●
Page 38 and 39: numastat: compatibility mode# numas
Page 40 and 41: numastat: per-node meminfo# numasta
Page 42 and 43: numastat shows aligned guests# numa
Page 44 and 45: How to manage NUMA manually●●
Page 46 and 47: numad can help improve NUMA perform
Page 50 and 51: numad usage●●●●numad is int
Page 52 and 53: To change utilization target● -u
Page 54 and 55: To get pre-placement advice● -w :
Page 56 and 57: numad “-w” shell script(the imp
Page 58 and 59: numad “-w” shell script (advise
Page 60 and 61: Multiguest Oracle OLTP WorkloadOrac
Page 62 and 63: Summary / Questions●Red Hat Enter
Page 64 and 65: Cgroup default mount points# cat /e
Page 66 and 67: cgroups[root@dhcp1001950 ~]#
Page 68 and 69: incorrect bindings!# echo 1 > cpuse

Performance Analysis and Tuning â Part 1 - Red Hat Summit

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Performance Analysis and Tuning â Part 1 - Red Hat Summit