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8%
Compressed Archives for User Projects
11.08.2025
Home »  Articles  » 
privileges. In the current directory (here, /home/layton jb /DATA_STORE ), check the content (Listing 1). Note that DATA1  is the mountpoint. Also notice the date on the compressed archive, because you
8%
Moving Your Data – It’s Not Always Pleasant
08.05.2013
Home »  HPC  »  Articles  » 
and many nodes, so why not use these cores to copy data? There is a project to do just this: dcp is a simple code that uses MPI and a library called libcircle to copy a file. This sounds exactly like what
8%
Top Three HPC Roadblocks
12.01.2012
Home »  HPC  »  Articles  » 
not move the overall market forward. For example, a user has many choices to express parallelism. They can use MPI on a cluster, OpenMP on an SMP, CUDA/OpenCL on a GPU-assisted CPU, or any combination
8%
What's Ahead for OpenMP?
05.12.2011
Home »  HPC  »  Articles  » 
; and FAQs. With that, we will try to knock down some of the myths people hold about OpenMP when compared with various other models, such as MPI, Cilk, or AMP. Somehow, we are the favorite comparison for all
8%
Resource Management with Slurm
05.11.2018
Home »  HPC  »  Articles  » 
Machine=slurm-ctrl 13 # 14 SlurmUser=slurm 15 SlurmctldPort=6817 16 SlurmdPort=6818 17 AuthType=auth/munge 18 StateSaveLocation=/var/spool/slurm/ctld 19 SlurmdSpoolDir=/var/spool/slurm/d 20 SwitchType=switch/none 21 Mpi
8%
Determining CPU Utilization
25.02.2016
Home »  HPC  »  Articles  » 
is causing the core to become idle. The reasons for CPU utilization to drop could be from waiting on I/O (reads or writes) or because of network traffic from one node to another (possibly MPI communication
8%
The Resurrection of bWatch
02.06.2025
Home »  Articles  » 
Photo by NASA Hubble Space Telescope on Unsplash
. It was Beowulf. No, not the Scandinavian warrior, but an approach to high-performance computing (HPC) that uses common x86 processors, conventional Ethernet networking, the Message Passing Interface (MPI
8%
Monitoring Tools for Admins
04.11.2025
Home »  Articles  » 
, data virtualization service (DVS) Nonuniform memory access (NUMA) properties Network topology Message passing interface (MPI) communication statistics Power consumption CPU temperatures
8%
Avoiding common mistakes in high-performance computing
30.11.2025
Home »  Archive  »  2012  »  Issue 09: Windo...  » 
© Maxim Kazmin, 123RF.com
.e., MPI) and a batch scheduler. This arrangement offers a quick victory for the administrator, but could cause serious upgrade issues and downtime in the future. For instance, upgrading to a new
8%
Warewulf Cluster Manager – Completing the Environment
20.06.2012
Home »  HPC  »  Articles  » 
boot times. Adding users to the compute nodes. Adding a parallel shell tool, pdsh, to the master node. Installing and configuring ntp (a key component for running MPI jobs). These added

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