16%
16.03.2021
(local to host dev-machine)
UUID : a84b0db5:8a716c6d:ce1e9ca6:8265de17
Events : 22
Number Major Minor RaidDevice State
0 8 33 0 active
16%
27.08.2014
.2% (53.2% cumulative)
20.1 GB 4.9% (58.0% cumulative)
22.4 GB 4.5% (62.5% cumulative)
24.6 GB 4.1% (66.7% cumulative)
26.8 GB 3.8% (70.5% cumulative)
29.1 GB 3.2% (73.7% cumulative)
31.3 GB 3.0% (76.6% cumulative)
33
16%
25.09.2023
3.0 (OTG and flash support)
Video
Micro-HDMI
Power
5V, USB or 2.1mm barrel connector
Other
2 CSIs, 1 DSI
I2C, UART, SPI, ADC, PWM, GPIO
16%
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
16%
30.11.2025
# Header for user-specific report
19 printf("%2s\t%4s\t%4s\tD=%2d\n", "N", "Xdat", "Xpdq", MAXDUMMIES);
20
21 foreach $users (sort {$a <=> $b} @vusers) {
22 pdq::Init($model);
23 $pdq::streams = pdq
16%
01.06.2024
compute server (Figure 3) [11]. Dependancies for this code on Ubuntu 22.04 are easily sourced:
Figure 3: Shockwave is put to use running numerical
16%
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
16%
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
16%
02.02.2021
see an image that uses Alpine Linux as its base (Listing 1).
Listing 1
Endlessh Dockerfile
FROM alpine:3.9 as builder
RUN apk add --no-cache build-base
ADD endlessh.c Makefile /
RUN make
16%
12.02.2014
B hald-addon-input
...
22.9 MiB + 4.0 MiB = 26.9 MiB plasma-desktop
26.0 MiB + 5.7 MiB = 31.7 MiB konsole (3)
28.3 MiB + 4.4 MiB = 32.7 MiB kwin
41.0 MiB + 2.0 MiB = 43.0 MiB Xorg
146.9
