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15%
Tuning I/O Patterns in Python
18.12.2013
Home »  HPC  »  Articles  » 
2P). Listing 2P: Python Code Example with Output in Loop (One-by-One) 1 #!/usr/bin/python 2 3 if __name__ == "__main__": 4 5 local_dict = {'x':0, 'y':0, 'z':0,'value':0.0}; 6 7 counter
15%
High-Performance Python 1
16.07.2019
Home »  HPC  »  Articles  » 
 +=x[i]     return total   x = numpy.arange(10_000_000); %time sum(x)   CPU times: user 1.63 s, sys: 0 ns, total: 1.63 s Wall time: 1.63 s Next, add Numba into the code (Listing 2) so the @jit  decorator can be used
15%
VMware Server 2.0 on recent Linux distributions
30.11.2025
Home »  Archive  »  2011  »  Issue 3: Are yo...  » 
Dmitry Tsvetkov, 123RF.com
.894212] vmware-hostd[3870]: segfault at 2100001c4f ip 0000003c0cb32ad0 sp 00007f3889e9cb88 error 4 in libc-2.12.90.so[3c0ca00000+19a000] Analysis and Plan A Initial analysis proved that the VMware ... 3 ... VMware Server 2.0 on recent Linux distributions
15%
Tuning I/O Patterns in Fortran 90
04.12.2013
Home »  HPC  »  Articles  » 
if (ierr > 0) then 21 write(*,*) "error in opening file! Stopping" 22 stop 23 else 24 do 10 counter=1,counter_limit 25 my_record%x = counter 26 my_record%y = counter
15%
HPC Cloud Storage
20.11.2013
Home »  HPC  »  Articles  » 
advantages: S3QL. ... _blocks.. ..symlink_targets.. ..names.. ..contents.. ..ext_attributes.. Compressing and uploading metadata... Wrote 0.00 MiB of compressed metadata. First, notice that I created the file as root. Second, the prefix ... advantages: S3QL. ... S3QL Filesystem for HPC Storage
15%
Realistic Ceph Performance Tuning Measures
02.06.2026
Home »  Archive  »  2026  »  Issue 93 Disast...  » 
Photo by Brenton Pearce on Unsplash
just under 2,000 IOPS for a single thread with a 4K block size under ideal conditions. Anyone used to running databases on Fibre Channel that deliver 3,500 IOPS and more will probably find
15%
An IT nomad's daily diary
30.11.2025
Home »  Archive  »  2011  »  Issue 6: Perfor...  » 
© Kateryna Pruchkovska, 123RF.com
","stage","app","gateway","eth0-ip","eth0-mask","eth1-mac","eth1-ip","eth1-mask" ] 19 system_dict = {} 20 21 f = open(cblr_systems, "r") 22 for line in f: 23 if line.startswith("#"): 24 continue 25 system
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%
New features in MariaDB 10.3
05.02.2019
Home »  Archive  »  2019  »  Issue 49: Anato...  » 
Lead Image by Adarsh Kummur on Unsplash
| revenue | 18 +---+------+---------+ 19 | 1 | 2016 | 100.00 | 20 | 2 | 2016 | 0.00 | 21 | 3 | 2016 | 999.99 | 22 | 1 | 2017 | 500.00 | 23 | 2 | 2017 | 0.00 | 24 | 3 | 2017 | 100.00 | 25 | 1 | 2018 ... What lacked maturity in MariaDB 10.2 has now been sorted out in version 10.3. We look at the benefits you can reap now. ... MariaDB 10.3 ... New features in MariaDB 10.3
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

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