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13.12.2018
In previous articles, I examined some fundamental tools for HPC systems, including pdsh [1] (parallel shells), Lmod environment modules [2], and shared storage with NFS and SSHFS [3]. One remaining ... 48
80%
04.12.2024
Rubén Llorente ... " {
11 endpoint = "https://192.168.3.15:8006/"
12 username = "root@pam"
13 password = "proxmox"
14 insecure = true
15 tmp_dir = "/var/tmp"
16
17 ssh {
18 agent = true
19 }
20
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18.07.2013
buffered disk reads: 616 MB in
3.00 seconds = 205.03 MB/sec
$ hdparm -T /dev/sda
/dev/sda:
Timing cached reads: 6292 MB in
2.00 seconds = 3153.09 MB/sec
If this were a spinning disk, you would also
17%
03.02.2022
] device to store /var/log, offloading the primary source of boot-time writes from the physical device to a 50MB RAM drive.
Figure 3: Three zram partitions
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07.10.2014
.snap
s ntestvm1.img 5 8.0 GB 292 MB 2.4 GB 2014-03-01 11:42 982a3a 2 mar.snap
s ntestvm1.img 6 8.0 GB 128 MB 2.6 GB 2014-03-10 19:48 982a3b 2 mar2.snap
ntestvm1.img 0 8.0 GB
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27.08.2014
record size, (2) sequential read testing with 1MB record size, and (3) random write and read (4KB). In running these tests, I wanted to see what block layer information ioprof revealed.
The system I
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17.02.2015
://developer.nvidia.com/jetson-tk1
Odroid-XU3
Android 4.4, Linux
Samsung Exynos5422
Quad ARM Cortex-A15 @2.0GHz (32KB/32KB/2MB), Quad ARM Cortex-A7 @1.4GHz (32KB/32KB/512KB)
Mali-T628 MP6
16%
12.05.2020
TAG IMAGE ID CREATED SIZE
nvidia/cuda 10.1-base-ubuntu18.04 3b55548ae91f 4 months ago 106MB
hello-world latest fce289e99eb9 16 months ago 1.84kB
Running the nvidia
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11.02.2016
amount of available RAM: 117,080MB in this case.
Mem used
: Amount of RAM used by the applications: 48,810MB in this case.
Mem free
: Potentially free RAM: 68,270MB in this case.
Mem cached
: RAM
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12.05.2021
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