10%
18.07.2013
100
100
000
Old_age
Always
–
2456
12
Power_Cycle_Count
0x0032
100
100
000
Old_age
Always
10%
26.02.2014
-sent: 22,334 (total) 0/s (Per-Sec)
pkts-recv: 68,018 (total) 2/s (Per-Sec)
lo
Bytes-sent: 2.55 K (total) 0.00 B/s (Per-Sec)
Bytes
10%
30.01.2024
Dell Precision Workstation T7910
Power
1,300W
CPU
2x Intel Xeon Gold E5-2699 V4, 22 cores, 2.4GHz, 55MB of cache, LGA 2011-3
GPU, NPU
n/a*
Memory
10%
25.03.2021
[1] sdc1[0]
244065408 blocks super 1.2 [2/2] [UU]
[=>...................] resync = 6.4% (15812032/244065408) finish=19.1min speed=198449K/sec
bitmap: 2/2 pages [8KB], 65536KB chunk
10%
11.02.2016
for the transmission speed, or you might have technical limits (searching through 100 million rows will take a dozen seconds or so), or you might even encounter financial limits to tuning. (Yes, an SSD could give you 10,000
10%
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
10%
04.12.2013
3 type rec
4 integer :: x, y, z
5 real :: value
6 end type rec
7
8 integer :: counter
9 integer :: counter_limit
10 integer :: ierr
11
12 type (rec) :: my
10%
20.02.2012
.51, 0, 0.36, 17.74, 0.00, 6.38, 90, 0
2012-01-09 21:10:00, 92, 4.42, 0, 0.35, 20.81, 0.00, 7.22, 100, 0
2012-01-09 21:12
10%
06.10.2022
20G 22,38080,52812,58080
kafka 3 weaveworks/ignite-ubuntu:20.04 weaveworks/ignite-kernel:5.12.18 2 2G 20G 22,2181,8080,9092,38080,52812,58080
spark 3 weaveworks
10%
20.10.2013
_age Always - 61
10 Spin_Retry_Count 0x0013 100 100 097 Pre-fail Always - 0
12 Power_Cycle_Count 0x0032 100 100 020 Old_age Always - 20
183 Runtime_Bad_Block 0x0032 100 100 000 Old_age Always - 0
184 End
