14%
09.01.2013
Barracuda (SATA 3Gb/s, 4K Sectors)
Device Model: ST3000DM001-1CH166
Serial Number: Z1F35P0G
LU WWN Device Id: 5 000c50 050b954c3
Firmware Version: CC27
User Capacity: 3,000,592,982,016 bytes [3.00 TB]
Sector
14%
05.11.2018
it the number of cores, number of cores per socket, threads per core, and the amount of memory available (e.g., 30,000MB, or 30GB, here).
CgroupAutomount=yes
CgroupReleaseAgentDir="/etc/slurm/cgroup"
Constrain
14%
13.12.2018
socket, threads per core, and the amount of memory available (e.g., 30,000MB, or 30GB, here).
CgroupAutomount=yes
CgroupReleaseAgentDir="/etc/slurm/cgroup"
ConstrainCores=yes
Constrain
14%
25.03.2020
billion IoT devices will be in action by the end of 2020.
For example, according to one report [1], a water project in China includes a whopping 100,000 IoT sensors to monitor three separate 1,000km
14%
10.04.2015
.org
Tutanota
ProtonMail
Mailbox from EUR1
Yes/2GB
Yes/2GB
Free/1GB
Free/500MB
Storage space expansion
Yes
Yes
Yes
Currently
14%
31.07.2013
Code Example
1 #include
2
3 /* Our structure */
4 struct rec
5 {
6 int x,y,z;
7 float value;
8 };
9
10 int main()
11 {
12 int counter;
13 struct rec my
14%
04.10.2018
with this expectation? Very much so (Figure 2). The simple benchmark built into the Gnome Disks tool yields a remarkably close 541.6MBps average read rate, with a stunning 0.09ms average latency (tested with 1,000
14%
18.12.2013
__ == "__main__":
12
13 local_dict = {'x':0, 'y':0, 'z':0,'value':0.0};
14 my_record = []; # define list
15
16 counter_limit = 2000;
17
18 f = open('test.bin', 'r+')
19 for counter in range(1,counter
14%
14.08.2020
100 100 010 Pre-fail Always - 0
9 Power_On_Hours 0x0032 097 097 000 Old_age Always - 12441
12 Power_Cycle_Count 0x0032 098 098 000 Old
14%
12.02.2014
has been removed for the sake of brevity).
Listing 4: System Information from ps_mem
[root@home4 1]# ./ps_mem.py
Private + Shared = RAM used Program
84.0 KiB + 12.5 KiB = 96.5 Ki
