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16%
Tips and Tricks for Containers
12.05.2020
Home »  HPC  »  Articles  » 
): root@c31656cbd380:/# apt-get update Get:1 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB] ... Fetched 18.0 MB in 9s (1960 kB/s) After the package repositories are synced, I can
16%
Simple, small-scale Kubernetes distributions for the edge
03.04.2024
Home »  Archive  »  2024  »  Issue 80: Threa...  » 
Lead Image © grafner, 123RF.com
on machines with only one CPU core and 512MB of RAM; the minimalist K3s setup itself only uses 250MB. As one of the radical cost-cutting measures, K3s dispenses with the I/O-intensive etcd database
16%
Visualizing containers with clarity
29.09.2020
Home »  Archive  »  2020  »  Issue 59: Custo...  » 
Lead Image © Ulrich Müller, 123RF.com
(abridged) $ docker build -t dockly . Sending build context to Docker daemon 16.52MB Step 1/9 : FROM node:8-alpine 8-alpine: Pulling from library/node e6b0cf9c0882: Pull complete 93f9cf0467ca: Pull
16%
Exploring the Xeon Phi
05.11.2013
Home »  Articles  » 
, mainly because it is inside the world’s fastest supercomputer – the Tianhe-2; in fact, the 48,000 Xeon Phi cards built in to the Tianhe-2 help it deliver nearly twice the raw performance of the second
15%
Small-board computers
17.02.2015
Home »  Archive  »  2015  »  Issue 25: Safe...  » 
Lead Image © Author, 123RF.com
://developer.nvidia.com/jetson-tk1 Odroid-XU3 Android 4.4, Linux Samsung Exynos5422 Quad ARM Cortex-A15 @2.0GHz (32KB/32KB/2MB), Quad ARM Cortex-A7 @1.4GHz (32KB/32KB/512KB) Mali-T628 MP6
15%
Warewulf 4
13.12.2022
Home »  HPC  »  Articles  » 
-export-libs-9.11.36-3.el8_6.1.x86_64.rpm             579 kB/s | 1.1 MB     00:02     (6/6): warewulf-4.3.0-1.git_235c23c.el8.x86_64.rpm               746 kB/s | 8.3 MB     00
15%
Endlessh and tc tarpits slow down attackers
02.02.2021
Home »  Archive  »  2021  »  Issue 61: Secur...  » 
Lead Image © Yewkeo, 123RF.com
5221548db 58 seconds ago 5.67MB 80dc7d447a48 About a minute ago 167MB alpine 3.9 78a2ce922f86 5 months ago 5.55MB The command you really
15%
Resource Management with Slurm
05.11.2018
Home »  HPC  »  Articles  » 
Name=slurm-node-0[0-1] Gres=gpu:2 CPUs=10 Sockets=1 CoresPerSocket=10 \ ThreadsPerCore=1 RealMemory=30000 State=UNKNOWN PartitionName=compute Nodes=ALL Default=YES MaxTime=48:00:00 DefaultTime=04:00:00 \ Max
15%
Parallel Programming with OpenCL
04.11.2011
Home »  HPC  »  Articles  » 
.width + kx]; 47             } 48         } 49         // Clamp values to {0, ..., 255} and store them 50         out.data[y * out.width + x] = clampuchar((int) convolutionSum); 51     } 52   } 53
15%
Machine learning and security
02.02.2021
Home »  Archive  »  2021  »  Issue 61: Secur...  » 
Lead Image © Vlad Kochelaevskiy, 123RF.com
my_norm_data.append(my_data[i]/my_data_max) 38 i += 1 39 40 # plot the data 41 trace0 = go.Scatter( 42 x = t, 43 y = my_norm_data, 44 name='Logons' 45 ) 46 fig = go.Figure() 47 48 layout = go

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