33%
13.12.2022
/6): tftp-server-5.2-24.el8.x86_64.rpm 123 kB/s | 49 kB 00:00
(4/6): dhcp-server-4.3.6-47.el8.x86_64.rpm 3.9 MB/s | 529 kB 00:00
(5/6): bind
33%
05.09.2011
control over what is displayed.
>>> pkts = sniff(prn=lambda x:x.sprintf(“{IP:%IP.src% → %IP.dst%\n}{Raw:%Raw.load%\n}”))
You can narrow down the ports that you sniff, as port 25 and 110 -- common ports
33%
15.02.2012
.81776285
8.426562
(0.25%)
file_18594.pickle
3376.81351113
9.711714
(0.29%)
file_18595.pickle
3376.81144404
9.132170
(0.27%)
file_18596.pickle
33%
26.01.2012
.81776285
8.426562
(0.25%)
file_18594.pickle
3376.81351113
9.711714
(0.29%)
file_18595.pickle
3376.81144404
9.132170
(0.27%)
file_18596.pickle
32%
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
32%
07.10.2014
276 MB 2.5 GB 2014-03-10 19:49 982a3c 2
# dog vdi tree
ntestvm1.img---[2014-02-05 15:04]---[2014-03-01 11:42]---[2014-03-10 19:48]---(you are here)
#
# qemu-img snapshot -l sheepdog:192
32%
25.09.2023
hosts [9]. A more apt comparison is found in Listing 2, with the results posted by a Raspberry Pi 400 [10], which is essentially a Raspberry Pi 4 (Broadcom BCM2711 Cortex-A72, ARM v8 quad-core running
32%
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
32%
05.12.2014
select(HostCt, ServerOwner, Date) %>%
078 arrange(desc(HostCt))
079 head8 <- head(top8, 25)
080
081 data9 <- sheet9
082 patchdata9 <- data.frame(data9)
083 top9 <- patchdata9 %>%
084 select
32%
11.04.2016
B blocks: 25.3 IO/s, 50.6 MiB/s (424.9 Mbit/s)
As the block size continues to grow, the transfer rate becomes increasingly important; a track change is only possible after fully reading the current
