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74%
Failure to Scale
03.07.2013
Home »  HPC  »  Articles  » 
processors, and the application will get faster. At the opposite end, if the parallelizable code fraction is zero (p = 0), then Amdahl’s Law reduces to a = 1, which means that no matter how many cores
74%
Managing Storage with LVM
07.11.2023
Home »  HPC  »  Articles  » 
PVs and outputs one line per PV with succinct information: $ sudo pvscan   PV /dev/sdb1                      lvm2 [<1.82 TiB]   Total: 1 [<1.82 TiB] / in use: 0 [0   ] / in no VG: 1 [<1.82 TiB] Notice
74%
Parallel Julia – Jumping Right In
29.06.2012
Home »  HPC  »  Articles  » 
| | | | | | |/ _` | | | | |_| | | | (_| | | Version 0.0.0+86921303.rc6cb _/ |\__'_|_|_|\__'_| | Commit c6cbcd11c8 (2012-05-25 00:27:29) |__/ | julia> If you don't want to see the title on subsequent start ups use julia -q
74%
S.M.A.R.T., smartmontools, and drive monitoring
09.01.2013
Home »  Archive  »  2013  »  Issue 18: New W...  » 
Lead Image © _fla, 123RF.com
SECTION === SMART overall-health self-assessment test result: PASSED General SMART Values: Offline data collection status: (0x00) Offline data collection activity was never started. Auto Offline Data
74%
Resource Management with Slurm
05.11.2018
Home »  HPC  »  Articles  » 
Name=slurm-node-0[0-1] Gres=gpu:2 CPUs=10 Sockets=1 CoresPerSocket=10 \ ThreadsPerCore=1 RealMemory=30000 State=UNKNOWN PartitionName=compute Nodes=ALL Default=YES MaxTime=48:00:00 DefaultTime=04:00:00 \ Max
74%
Resource Management with Slurm
13.12.2018
Home »  Archive  »  2018  »  Issue 48: Secur...  » 
Lead Image © Vladislav Kochelaevs, fotolia.com
Timeout=300 31 InactiveLimit=0 32 MinJobAge=300 33 KillWait=30 34 Waittime=0 35 # 36 # SCHEDULING 37 SchedulerType=sched/backfill 38 SelectType=select/cons_res 39 SelectType
74%
Run TensorFlow models on edge devices
02.06.2020
Home »  Archive  »  2020  »  Issue 57: Artif...  » 
Lead Image © leeavison, 123RF.com
--upgrade pip pip install --upgrade tensorflow=2.0 pandas numpy pathlib ## Check the setup python -c "import tensorflow as tf;print(tf.reduce_sum(tf.random.normal([1000, 1000])))" Neural Network
73%
Asynchronous PostgreSQL
12.09.2013
Home »  Archive  »  2013  »  Issue 16: Docker  » 
Lead Image © Fesus Robert, 123RF.com
.pl 00:00:00.50023 The output shows the amount of computing time the database engine consumed. You can pass in the desired time as a CGI parameter: $ curl http://localhost/cgi/burn0.pl\?3 00:00
73%
Warewulf 4 – Environment Modules
20.03.2023
Home »  HPC  »  Articles  » 
.exe   QUAD_MPI   FORTRAN90/MPI version   Estimate an integral of f(x) from A to B.   f(x) = 50 / (pi * ( 2500 * x * x + 1 ) )     A        =    0.00000       B        =    10.0000       N        =      9999999
73%
Fundamentals of I/O benchmarking
11.04.2016
Home »  Archive  »  2016  »  Issue 32: Measu...  » 
Lead Image © Kheng Ho Toh, 123RF.com
MB/s wMB/s avgrq-sz ... sdb 0.00 28.00 1.00 259.00 0.00 119.29 939.69 ... Parallelism Multiple computers can access enterprise storage, and multiple threads can access ... Admins often want to know how to measure the performance of a specific solution. Care is needed, however: Where there are benchmarks, there are pitfalls.

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