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29%
Rethinking RAID (on Linux)
16.03.2021
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=libaio, iodepth=32 fio-3.12 Starting 1 process Jobs: 1 (f=1): [w(1)][100.0%][w=1420KiB/s][w=355 IOPS][eta 00m:00s] test: (groupid=0, jobs=1): err= 0: pid=3377: Sat Jan  9 15:31:04 2021   write: IOPS=352, BW=1410Ki
29%
When I/O workloads don't perform
02.08.2021
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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
29%
When I/O Workloads Don’t Perform
12.05.2021
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  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
29%
Listing 4
21.08.2012
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                                              | 119 kB     00:00 (6/19): glib2-2.22.5-6.el6.i686.rpm                                              | 1.1 MB     00:00 (7/19): libX11-1.3-2.el6.i686.rpm
29%
open64
01.08.2012
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| 4.3 MB 00:02 (2/2): nss-softokn-freebl-3.12.9-11.el6.i686.rpm | 115 kB 00:00
28%
Rethinking RAID (on Linux)
25.03.2021
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Lead Image © nikkikii, 123RF.com
0[0] 2094080 blocks super 1.2 [2/2] [UU] ** unused devices: The initialization time should be relatively quick here. Also, verify the RAID1 mirror details (Listing 13) and rerun the random
28%
The practical benefits of network namespaces
15.08.2016
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Lead Image © Morganimation, fotolia.com
ns2 10 $ ip netns exec ns2 ip link 11 1: lo: mtu 65536 qdisc noop state DOWN mode DEFAULT group default 12 link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 13 2: veth2:
27%
Listing 6
21.08.2012
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6  ### 8/5/2012 7 8  ### Set the job name 9  #PBS -N mpi_pi_fortran90 10 11 ### Run in the queue named “batch” 12 #PBS -q batch 13 14 ### Specify the number of cpus for your job.  This example
27%
Compiler Directives for Parallel Processing
12.08.2015
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's definitely not a small organization, having well over 12x1015 floating-point operations per second (12PFLOPS) of peak performance in aggregate. At the recent XSEDE conference during a panel session
27%
Profiling Python code
30.01.2020
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Lead Image ©-Yong Hian Lim, Fotolia.com
and a truncated distance 243| 12475000| 50.5158| 4.04936e-06| 3.04%| d = 0.0 244| 49900000| 209.465| 4.1977e-06| 12.60%| for k in range(0, d_num): 245

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