35%
11.02.2016
553200 0 22908 348 23076 1143 2880 6 3 57 35 0 <- < I/O System loaded (wa) >
0 3 265376 149720 1136 378148 0 105300 252 105348 993 3002 6 4 62 29 0
0 14 495028 117264 560
35%
18.06.2014
.tar.gz 8,473,315
#3 /home/laytonjb/LAPTOP/CLUSTERBUFFER/STRACE_PY/EXAMPLES/23andme-jeff-runs/all2/strace.26702.call_variants_1.out 6,155,298
#4 /home/laytonjb/CLUSTERBUFFER2/STRACE_PY/EXAMPLES/23
35%
02.08.2021
the configuration and capabilities of memory DIMMs and revealed that my system has four DDR3 RAM devices of 2048MB configured at speeds of 1333MTps (mega transfers per second).
Playing with RAM Drives
To begin, you
35%
04.06.2013
FLOPS.
This gigantic HPC system, which is called the Tianhe-2 (TH-2) or the Milky Way-2 supercomputer, comes with 32,000 Intel Ivy Bridge Xeon sockets and 48,000 Xeon Phi coprocessors for a total of 3,120,000 cores
35%
11.04.2016
(512 MB) copied, 49.1424 s, 10.4 MB/s
If you want to empty the read and write cache for benchmark purposes, you can do so using:
sync; echo 3 > /proc/sys/vm/drop_caches
Sequential access
34%
25.03.2021
a tiny bit to 1.2MBps (Listing 6), random reads increased to almost double the throughput with a rate of 3.3MBps (Listing 7).
Listing 6
Random Write to RAID
$ sudo fio --bs=4k --ioengine
34%
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
34%
30.01.2020
tottime percall cumtime percall filename:lineno(function)
148/1 0.001 0.000 156.745 156.745 {built-in method builtins.exec}
1 149.964 149.964 156.745 156.745 md_002.py:3
34%
25.03.2020
, according to the README file, requires "half the memory, all in a binary less than 40MB" to run. By design, it is authored with a healthy degree of foresight by the people at Rancher [3]. The GitHub page [4 ... The k3s lightweight and secure Kubernetes distribution can handle both unattended workloads in remote locations with minimal resources and clusters of IoT appliances. ... Kubernetes k3s lightweight distro
33%
09.10.2017
boto3
3
4 s3 = boto3.resource('s3')
5 bucket = s3.Bucket('prosnapshot')
6 bucket.download_file('hello.txt', 'hello-down.txt')
Figure 2 ... Data on AWS S3 is not necessarily stuck there. If you want your data back, you can siphon it out all at once with a little Python pump. ... Data Exchange with AWS S3 ... Getting data from AWS S3 via Python scripts
