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13%
Get Started with Parallel CPython
07.11.2011
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 if '__main__' == __name__: 12  13     p1 = Process(target = count, args = (20, ' Rich',)) 14     p2 = Process(target = count, args = (25, ' Nus',)) 15     p3 = Process(target = count, args = (30, ' Geeks
13%
Boost performance of your Python programs
30.11.2025
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Eric Isselée, 123RF
(number, label): 07 for i in xrange(number): 08 print ' ' + str(i) + ' ' + label 09 sleep((number - 15)/10.0) 10 11 if '__main__' == __name__: 12 13 p1 = Process(target = count, args = (20
13%
I/O Profiling at the Block Level
27.08.2014
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.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
13%
Keras: Getting Started with AI
03.12.2024
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, MaxPooling 2D : model.add(layers.BatchNormalization()) model.add(layers.MaxPooling2D(pool_size=(2,2))) A max pooling layer has a pool size, 2x2 in this case, that is used to scan the entire input image (left
13%
ISC 2024 from a Distance
10.06.2024
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number 2 using 38.698MW, resulting in a low performance/power ratio of 26.15. In comparison, Frontier at number 1 reached about 1.2 exaflops using 22.78MW, resulting in a performance/power ratio of 52
13%
Security data analytics and visualization with R
05.12.2014
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Lead Image © Rancz Andrei, 123RF.com
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