74%
09.10.2023
identifier: 0x8c344631
Device Boot Start End Sectors Size Id Type
/dev/nvme1n1p1 2048 2000408575 2000406528 953.9G 83 Linux
Disk /dev/nvme0n1: 476.94 GiB, 512110190592 bytes
74%
16.03.2021
Jobs: 1 (f=1): [w(1)][100.0%][w=1305KiB/s][w=326 IOPS][eta 00m:00s]
test: (groupid=0, jobs=1): err= 0: pid=5941: Sat Jan 9 16:38:30 2021
write: IOPS=325, BW=1301KiB/s (1333kB/s)(76.4MiB/60156msec); 0
74%
11.06.2014
171M 108K 171M 1% /run
06 /dev/disk/by-uuid/a3864f53-b3b7-4a6d-9a27-548305aa6594 9.9G 722M 8.7G 8% /
07 tmpfs 5.0M 0 5.0M 0% /run
74%
02.08.2021
: https://www.mathworks.com/
i5-103000H CPU: https://ark.intel.com/content/www/us/en/ark/products/201839/intel-core-i5-10300h-processor-8m-cache-up-to-4-50-ghz.html
NVidia GeForce 1650 GPU: https://www.nvidia.com
73%
05.02.2023
--instance-type m6in.2xlarge --count 2 --output text
Table 1
Network Performance Factors*
Enhanced networking [4]
SR-IOV [5] and better hardware
Elastic network adapter
73%
05.12.2019
OpenMP code:
$ f2py --f90flags=-fopenmp -L/usr/lib/gcc/x86_64-redhat-linux/4.8.2/ -lgomp -c -m test test.f90
In this case, the GFortran compiler option -fopenmp was used to compile the OpenMP. It also
73%
30.11.2025
. You can create memory pressure in the system by launching eight RAM hogs:
stress -m 8 --verbose
These tasks malloc 256MB and touch a byte every 4096 bytes, which dirties each memory page and forces ... 8
72%
30.11.2025
+ display, 8Mpx camera, and microSD card reader – all in a slim 8.3mm body.
And, the 7-inch Asus Eee Pad MeMO ME370T – powered by the Tegra 3 quad-core mobile processor and running Android 4.0 Ice Cream
72%
22.12.2017
this module.
Listing 5
Building test.f90
$ f2py --f90flags=-fopenmp -L/usr/lib/gcc/x86_64-redhat-linux/4.8.2/ -lgomp -c -m test test.f90
running build
running config_cc
unifing config_cc, config
72%
30.11.2025
(6192 bits), 774 bytes captured (6192 bits)
Ethernet II, Src: 00:1a:2b:3c:4d:5e, Dst: 00:6f:7g:8h:9i:0j
Internet Protocol Version 4, Src: 192.168.1.101, Dst: 192.168.1.104
User Datagram Protocol, Src Port
