20%
16.03.2021
B/s-1404kB/s), io=80.5MiB (84.4MB), run=60145-60145msec
Disk stats (read/write):
md0: ios=100/20614, merge=0/0, ticks=0/0, in_queue=0, util=0.00%, aggrios=103/20776, aggrmerge=0/0, aggrticks=12
19%
02.08.2021
%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
19%
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
19%
25.03.2021
, ioengine=libaio, iodepth=32
fio-3.12
Starting 1 process
Jobs: 1 (f=1)
test: (groupid=0, jobs=1): err= 0: pid=5956: Sat Jan 9 16:38:53 2021
read: IOPS=256k, BW=998MiB/s (1047MB/s)(2045MiB/2049msec
18%
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
17%
13.12.2018
(USB 2), and a Samsung Fit Plus 32 (USB 3).
Disk Caches
The OS is not the only player in the caching business. Examining a Samsung 750 SATA SSD drive, you cannot but notice a 256MB RAM buffer [8
17%
05.08.2024
= [size][size]int {{0},{0},}
08
09 for i := 0; i < size; i++ {
10 for j := 0; j < size; j++ {
11 array[i][j]++
12 }
13 }
14
15
17%
30.11.2025
creates a 256MB file in the current directory along with process for the job. This process reads complete file content in random order. Fio records the areas that have already been read and reads each area
17%
30.01.2020
[k,i] = force[k,i] - rij[k] * np.sin(2.0 * d2) / d
256| 0| 0| 0| 0.00%| # end for
257| 0| 0| 0| 0.00%| # end if
258
17%
11.04.2016
/s wMB/s avgrq-sz ...
sdb 0.00 28.00 1.00 259.00 0.00 119.29 939.69 ...
Parallelism
Multiple computers can access enterprise storage, and multiple threads can access
