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18%
Understanding the Status of Your Filesystem
18.06.2014
Home »  HPC  »  Articles  » 
 mtime age file in days:  0.016  days    Standard deviation mtime age in days:  590.7352  days      *** Mtime interval summary     [   0-   1 days]:    176  (  0.05%)  (  0.05% cumulative)    [   1-   2 days]:      0  (  0.00%)  (  0
18%
Professional backup solutions compared
30.11.2025
Home »  Archive  »  2010  »  Issue 2: Backup...  » 
Kamil Macniak, 123RF
) with 12 Serial ATA disks, a 320 UW SCSI controller for the host connection, and 512MB cache. I configured various disk groups and logical volumes on this powerful hardware and exported them to the backup
18%
A Distributed SQL Database
03.08.2023
Home »  Archive  »  2023  »  Issue 76: Energ...  » 
Photo by Sonika Agarwal on Unsplash
, contiguous chunks called ranges, which are typically 64MB in size. These ranges are replicated across multiple nodes by the Raft consensus algorithm, ensuring strong consistency and fault tolerance. On top
18%
Useful NFS Options for Tuning and Management
15.06.2016
Home »  HPC  »  Articles  » 
many packets or remote procedure calls (RPCs) are created and sent. For example, if you want to transmit 1MB of data using 32KB chunks, the data is sent in quite a few chunks and a correspondingly large
18%
System Logging for Data-Based Answers
25.01.2018
Home »  HPC  »  Articles  » 
the load averages for the entire node for the past 1, 5, and 15 minutes, so if you have 16 cores, you could see a load average of 16.0. Keep this in mind as you process the logs. If you have a heterogeneous
18%
Performance Health Check
13.06.2022
Home »  HPC  »  Articles  » 
) BT (4 cores) 11.95 66.5 272 CG (4 cores) 0.4 23.9 62.3 EP (6 cores) 1.4 5.46 21.05 FT (4 cores) 1
18%
Measuring the performance health of system nodes
02.08.2022
Home »  Archive  »  2022  »  Issue 70: Defen...  » 
Lead Image © Peter Hermes Furian, 123RF.com
B time (s) Class C time (s) BT (4 cores) 11.95 66.5 272 CG (4 cores) 0.4 23.9 62.3 EP (6 cores) 1.4 5.46 21
18%
mpi4py – high-performance distributed Python
30.11.2020
Home »  Archive  »  2020  »  Issue 60: Secur...  » 
Lead Image © liu liming, 123RF.com
system. At first, it was primarily a tool for HPC in the early 1990s, with version 1.0 released in June 1994. In the early days of MPI, it was used almost exclusively with C/C++ and Fortran. Over time
18%
Time flies, but it can still be measured
31.10.2025
Home »  Archive  »  2012  »  Issue 12: NAS S...  » 
built-in command provides a breakdown of where a program's share of CPU was spent and how much time elapsed during a given task: $ time ps -axjf > /dev/null real 0m0.029s user 0m0.005s sys 0m0
18%
mpi4py – High-Performance Distributed Python
12.11.2020
Home »  HPC  »  Articles  » 
system. At first, it was primarily a tool for HPC in the early 1990s, with version 1.0 released in June 1994. In the early days of MPI, it was used almost exclusively with C/C++ and Fortran. Over time

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