37%
18.06.2014
]: 13502 ( 3.48%) ( 87.59% cumulative)
[ 64- 128 KB]: 12083 ( 3.11%) ( 90.70% cumulative)
[ 128- 256 KB]: 8623 ( 2.22%) ( 92.93% cumulative)
[ 256- 512 KB]: 13437 ( 3
36%
07.11.2023
B
Total PE 476931
Alloc PE / Size 0 / 0
Free PE / Size 476931 / <1.82 TiB
VG UUID o1Td3h-y72R-SR2R-HjHh-3mMG-ekXw-pkALKV
Listing 3: Volume Group Information
36%
09.01.2013
a 256-bit AES key. An additional SHA-256 HMAC checksum protects the data from manipulation.
Compression: S3QL compresses the data before storing, using either LZMA, bzip2, or gzip. This compression ... advantages: S3QL. ... S3QL filesystem for cloud backups
36%
04.11.2011
-o pe_start
# vgcreate RaidVolGroup00 /dev/sdx
# lvcreate --extents 100%VG --name RaidLogVol00 RaidVolGroup00
# mkfs -t ext3 -E stride=32 -m 0 -O dir_index,filetype,has_journal,sparse_super /dev
36%
27.08.2014
record size, (2) sequential read testing with 1MB record size, and (3) random write and read (4KB). In running these tests, I wanted to see what block layer information ioprof revealed.
The system I
36%
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
36%
04.08.2020
(minified by 25.99X)
from python:2.7-alpine - 84.3MB => 23.1MB (minified by 3.65X)
from python:2.7.15 - 916MB => 27.5MB (minified by 33.29X)
from centos:7 - 647MB => 23MB (minified by 28.57X)
from centos
35%
11.05.2021
sizes (Listing 1). The second script (Listing 2) is the same as Listing 1, but uses double precision.
Listing 1: Single-Precision Square Matrix Multiply
# Example SGEMM
for N = [2, 4, 8, 16, 32, 64, 128, 256
35%
01.08.2012
| 358 kB 00:00
(4/12): hwloc-1.1-0.1.el6.x86_64.rpm | 1.0 MB 00:00
(5/12): libX11-1.3-2.el6.x86_64.rpm ...
Warewulf 3 Listing 2
35%
30.11.2020
: Pull complete
3db6272dcbfa: Pull complete
Digest: sha256:8be26f81ffea54106bae012c6f349df70f4d5e7e2ec01b143c46e2c03b9e551d
Status: Downloaded newer image for registry:2
docker.io/library/registry:2
