30%
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
30%
06.10.2019
://creativecommons.org/licenses/by-sa/3.0/
Splint: http://splint.org
Hoare, C.A.R. An axiomatic basis for computer programming. Communications of the ACM
, 1969;12(10):576-583, https://web.archive.org/web/20160304013345/http
30%
17.01.2023
x86_64 2.9.1-9.el8 baseos 393 k
groff-base x86_64 1.22.3-18.el8 baseos 1.0 M
hwloc-ohpc x86_64 2.7.0-3.9
30%
04.04.2023
x86_64 2.9.1-9.el8 baseos 393 k
groff-base x86_64 1.22.3-18.el8 baseos 1.0 M
hwloc-ohpc x86_64 2.7.0-3.9
30%
25.03.2021
-machine)
UUID : e0e5d514:d2294825:45d9f09c:db485a0c
Events : 3
Number Major Minor RaidDevice State
0 252 0 0 active sync /dev/rd0
1 8 34
30%
02.08.2021
SGEMM
for N = [2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192]
A = single( rand(N,N) );
B = single( rand(N,N) );
start = clock();
C = A*B;
elapsedTime = etime(clock(), start
30%
09.10.2017
_string3= {9E 68 2B C2 99 6A 59 F7 F9 8D 30}
07 Conditions:
08 $test_string1 or $test_string2 or $test_string3
09 }
In Listing 2, I tell Yara to look for the strings that my
30%
04.08.2020
on others' machines.
Benching C
With routines from Jens' book [9] and a bit of your own code, you can easily accomplish statistically weighted measurements of code performance in C similar to that provided
30%
02.08.2021
---------------- -------------------- ---------------------------------------- --------- -------------------------- ---------------- --------
/dev/nvme0n1 S3ESNX0JA48075E Samsung SSD 960 EVO 250GB 1 22.41 GB / 250.06 GB 512 B + 0 B 2B7QCXE7
/dev/nvme1n1 07b4753784e26c18 Linux
30%
28.11.2023
://google.com"}},
10c7
< "label": "localhost PING/PORT/HTTP Tests",
---
> "label": "opensearch PING/PORT/HTTP Tests",
12,30c9,28
< {
< "type": "PING",
< "params": {
< "hostname": "129
