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18%
Whitepaper: AMD “Bulldozer” Architecture
10.11.2011
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6200 Series processors. SVR-16    2Based on testing in AMD Performance Labs as of August, 2011, an AMD Opteron™ processor model 6174 (12-core 2.2GHz) consumes 11.7W in the active idle C1E power state
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Go testing frameworks
05.08.2024
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Lead Image © Lucy Baldwin, 123RF.com
= [size][size]int {{0},{0},} 08 09 for i := 0; i < size; i++ { 10 for j := 0; j < size; j++ { 11 array[i][j]++ 12 } 13 } 14 15
18%
Correctly integrating containers
09.10.2017
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Lead Image © Beboy, Fotolia.com
"SubnetMax": "10.99.0.0", 07 "Backend": { 08 "Type": "udp", 09 "Port": 7890 10 } 11 } 12 [...] At first glance, this concept looks robust and simple
18%
mpi4py – high-performance distributed Python
30.11.2020
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Lead Image © liu liming, 123RF.com
== 0: 08 data = { 'key1' : [10,10.1,10+11j], 09 'key2' : ('mpi4py' , 'python'), 10 'key3' : array([1, 2, 3]) } 11 else: 12 data = None 13 # end if 14 15 data = comm
18%
Listing 4
21.08.2012
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--> Processing Dependency: libpng12.so.0(PNG12_0) for package: rrdtool-1.3.8-6.el6.i686 --> Processing Dependency: libxml2.so.2 for package: rrdtool-1.3.8-6.el6.i686 --> Processing Dependency: libpango-1.0.so.0
18%
Modularize websites with Web Components
09.04.2019
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Lead Image © Andrey Prokhorov, fotolia.com
="https://unpkg.com/@webcomponents/webcomponentsjs"> 05 06 07 08 09 My Comments 10 11
12
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Monitoring Performance with sar
05.03.2014
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:15:01        all      2.08      0.00      0.96      0.02      0.00     96.94 12:25:01        all      1.96      0.00      0.82      0.06      0.00     97.16 12:35:01 PM     all      1.22      0
18%
Collecting and evaluating performance data over a period of time
20.03.2014
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Lead Image © Sergey Nivens, 123RF.com
all 1.22 0.00 0.73 0.00 0.00 98.05 12:45:01 PM all 1.32 0.00 0.72 0.01 0.00 97.95 12:55:01 PM all 1.79 0.00 0.75 0
18%
Rethinking RAID (on Linux)
16.03.2021
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RAID Status cat /proc/mdstat Personalities : [linear] [multipath] [raid0] [raid1] [raid6] [raid5] [raid4] [raid10] md0 : active raid1 sdd1[1] sdc1[0]       244065408 blocks super 1.2 [2/2] [UU
18%
Data Analysis with R and Python
17.02.2015
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Lead Image © mopic, 123RF.com
return float(val) 08 except: 09 return None 10 11 with open(sys.argv[1]) as csvfile: 12 collec = MongoClient()["galaxy"]["comets"] 13 for row in csv.reader(csvfile, delimiter="\t"): 14 try

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