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15%
Measuring the performance health of system nodes
02.08.2022
Home »  Archive  »  2022  »  Issue 70: Defen...  » 
Lead Image © Peter Hermes Furian, 123RF.com
B time (s) Class C time (s) BT (4 cores) 11.95 66.5 272 CG (4 cores) 0.4 23.9 62.3 EP (6 cores) 1.4 5.46 21
15%
Aggregating information with Huginn
18.02.2018
Home »  Archive  »  2018  »  Issue 43: Real...  » 
Lead Image © it Ilka Burckhardt, Fotolia.com
. The required modifications are explained in the Huginn wiki [3]. The software is based on Ruby on Rails [4] and therefore requires an installed Ruby environment; in fact, it needs version 2.2 or 2
15%
Exploring OpenShift – Red Hat's next-generation PaaS tool
10.04.2015
Home »  Archive  »  2015  »  Issue 26: OpenS...  » 
(C) Markus Feilner, CC-BY-SA 4.0
/mfeilner/.openshift/express.conf ... done 20 21 Checking for git ... found git version 2.1.0 22 23 Checking common problems .. done 24 25 Checking for a domain ... feilner 26 27 Checking for applications ... none 28 29 Run 'rhc create
15%
mpi4py – high-performance distributed Python
30.11.2020
Home »  Archive  »  2020  »  Issue 60: Secur...  » 
Lead Image © liu liming, 123RF.com
): 11 12 s = 0.0 13 s += h * f(a) 14 for i in range(1, n): 15 s += 2.0 * h * f(a + i*h) 16 # end for 17 s += h * f(b) 18 return (s/2.) 19 # end def 20 21 22 # Main section 23 comm = MPI
15%
Posteo, Mailbox.org, Tutanota, and ProtonMail compared
10.04.2015
Home »  Archive  »  2015  »  Issue 26: OpenS...  » 
Lead Image © Kirill Bodrov, 123RF.com
.org Tutanota ProtonMail Mailbox from EUR1 Yes/2GB Yes/2GB Free/1GB Free/500MB Storage space expansion Yes Yes Yes Currently
15%
Keras: Getting Started with AI
03.12.2024
Home »  HPC  »  Articles  » 
(pool_size=(2,2))) model.add(layers.Dropout(0.3)) The next size layers of the model (Listing 4) are the same except for some small changes: input_shape  does not need to be specified in the first 2D
15%
Getting started with AI
26.01.2025
Home »  Archive  »  2025  »  Issue 85: Monit...  » 
Lead Image © Lightwise, 123RF.com
.add(layers.BatchNormalization()) model.add(layers.Conv2D(32, (3,3), padding='same', activation='relu')) model.add(layers.BatchNormalization()) model.add(layers.MaxPooling2D(pool_size=(2,2))) model.add(layers.Dropout(0.3)) The next
15%
Service discovery, monitoring, load balancing, and more with Consul
04.10.2018
Home »  Archive  »  2018  »  Issue 47: Findi...  » 
Lead Image © Ringizzz, 123RF.com
[ec2-user@ip-172-31-20-189 ~]$ consul members Node Address Status Type Build Protocol DC Segment ip-172-31-16-22 172.31.16.22:8301 alive server 1.2.0 2
15%
A Distributed SQL Database
03.08.2023
Home »  Archive  »  2023  »  Issue 76: Energ...  » 
Photo by Sonika Agarwal on Unsplash
, contiguous chunks called ranges, which are typically 64MB in size. These ranges are replicated across multiple nodes by the Raft consensus algorithm, ensuring strong consistency and fault tolerance. On top
15%
Measuring the performance of code
04.08.2020
Home »  Archive  »  2020  »  Issue 58: Graph...  » 
Lead Image © Lucy Baldwin, 123RF.com
return -timespec_diff(sooner, later); 19 else 20 return 21 (later->tv_sec - sooner->tv_sec) 22 /* tv_nsec is known to be a signed type. */ 23 + (later->tv_nsec - sooner

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