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25%
CPU affinity in OpenMP and MPI applications
03.02.2022
Home »  Archive  »  2022  »  Issue 67: syst...  » 
Lead Image © podfoto, 123RF.com
39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 node 0 size: 64251 MB node 0 free: 60218 MB node distances: node 0 0: 10 The system has one NUMA node (available: 1
24%
Filesystem Murder Mystery
09.04.2019
Home »  Archive  »  2019  »  Issue 50: Bpfilter  » 
Lead Image © Lucy Baldwin, 123RF.com
in mv ubuntu@aws:~/slow-mv$ strace -t mv 3GB.copy 3GB 19:00:09 execve("/bin/mv", ["mv", "3GB.copy", "3GB"], 0x7ffd0e7dddf8 /* 21 vars */) = 0 19:00:09 brk(NULL) = 0x55cd7d1ce000
24%
Visualizing containers with clarity
29.09.2020
Home »  Archive  »  2020  »  Issue 59: Custo...  » 
Lead Image © Ulrich Müller, 123RF.com
(abridged) $ docker build -t dockly . Sending build context to Docker daemon 16.52MB Step 1/9 : FROM node:8-alpine 8-alpine: Pulling from library/node e6b0cf9c0882: Pull complete 93f9cf0467ca: Pull
24%
Processor and Memory Affinity Tools
14.09.2021
Home »  HPC  »  Articles  » 
 $(find /sys/devices/system/cpu -regex ".*cpu[0-9]+/topology/thread_siblings_list") | sort -n | uniq 0,32 1,33 2,34 3,35 4,36 5,37 6,38 7,39 8,40 9,41 10,42 11,43 12,44 13,45 14,46 15,47 16,48 17,49 18,50 19,51 20,52 21,53 22,54 23,55 24,56 25
24%
Tips and Tricks for Containers
12.05.2020
Home »  HPC  »  Articles  » 
dfb7330c6154b82f3a7e4724fb1b4475c0a95dfdd33",                 "sha256:6c01b5a53aac53c66f02ea711295c7586061cbe083b110d54dafbeb6cf7636bf",                 "sha256:e0b3afb09dc386786d49d6443bdfb20bc74d77dcf
24%
Update your Docker containers safely
07.06.2019
Home »  Archive  »  2019  »  Issue 51: Self-...  » 
Lead Image © yelenayemchuk, 123RF.com
_web latest c100b674c0b5 13 months ago 19MB nginx alpine bf85f2b6bf52 13 months ago 15.5MB With the image ID in hand, you can inspect the image manifest: docker inspect bf85f2b6bf52
23%
When I/O workloads don't perform
02.08.2021
Home »  Archive  »  2021  »  Issue 64: Bare...  » 
Lead Image © Viacheslav Iakobchuk, 123RF.com
%util sda 10.91 6.97 768.20 584.64 4.87 18.20 30.85 72.31 13.16 20.40 0.26 70.44 83.89 1.97 3.52 nvme0n1 58.80 12.22 17720.47 48.71 230
23%
When I/O Workloads Don’t Perform
12.05.2021
Home »  HPC  »  Articles  » 
  30.85  72.31   13.16   20.40   0.26    70.44    83.89   1.97   3.52 nvme0n1         58.80   12.22  17720.47     48.71   230.91     0.01  79.70   0.08    0.42    0.03   0.00   301.34     3
23%
mpi4py – high-performance distributed Python
30.11.2020
Home »  Archive  »  2020  »  Issue 60: Secur...  » 
Lead Image © liu liming, 123RF.com
== 0: 08 data = { 'key1' : [10,10.1,10+11j], 09 'key2' : ('mpi4py' , 'python'), 10 'key3' : array([1, 2, 3]) } 11 else: 12 data = None 13 # end if 14 15 data = comm
23%
Error-correcting code memory keeps single-bit errors at bay
14.11.2013
Home »  Archive  »  2013  »  Issue 17: Cloud...  » 
Lead Image © Igor Stevanovic, 123RF.com
of an uncorrectable error by factors of 9-400. Uncorrectable errors following a correctable error are still small at 0.1%-2.3% per year. + The incidence of correctable errors increases with age

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