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21.12.2017
^15 floating point operations per second). In total, almost 500TB of main memory and nearly 20PB of external memory are available for data.
In addition to high computing power, SuperMUC also displays impressive
70%
06.05.2014
to big data, casino operators can create granular customer profiles. The Flamingo Hotel of Caesars Entertainment in Las Vegas alone employs 200 big data analysts. Specialized analytics solutions
70%
04.11.2011
::min((int) std::numeric_limits::max(), std::max(value, (int) std::numeric_limits::min()));
20 }
21
22 /**
23 * Convolve a grayscale image with a convolution
24 * kernel on the CPU.
25
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18.06.2014
( 7.10%) ( 15.26% cumulative)
[ 168- 252 days]: 9820 ( 2.53%) ( 17.79% cumulative)
[ 252- 365 days]: 79030 ( 20.36%) ( 38.15% cumulative)
[ 365- 504 days]: 3717 ( 0.96%) ( 39.11% cumulative)
[ 504
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13.12.2022
use the same container for nodes but have them boot with different kernels, but please test the combination before putting it in production.
Combining a container with a kernel is done with a profile
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12.05.2021
.07 1.19 2.89 0.00 95.06
Device r/s w/s rkB/s wkB/s rrqm/s wrqm/s %rrqm %wrqm r_await w_await aqu-sz rareq-sz wareq-sz svctm %util
sda 10.91 6.97 768.20 584.64 4.87 18.20
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04.11.2011
Recent trends in computing are toward more cores doing more tasks at once. These days, you are likely to have a dual- or quad-core CPU in your laptop, and perhaps 4, 6, 12, or 16 cores in your
69%
04.11.2011
/usr/global/
just like /usr/local/
except it is mounted on all nodes via NFS. The script global.sh
(Listing 6) is symlinked on all nodes to /etc/profile.d/global.sh
to set user environment variables.
Listing 6
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19.09.2019
= np.array([10, 20, 30, 40])
print('a+b:\n', add_ufunc(a, b))
The answer should be:
a+b:
[11 22 33 44]
In the previous example, you had to put everything that was to run on the GPU into a single Numba
68%
12.02.2014
or sar+ksar). Others gather metrics for clusters (e.g., Ganglia or Cacti), and some come with plotting tools built-in using the RRDtool database. Some tools are specifically for performance profiling