9%
09.04.2012
facing cluster administrators is upgrading software. Commonly, cluster users simply load a standard Linux release on each node and add some message-passing middleware (i.e., MPI) and a batch scheduler
9%
16.05.2018
with GPUs using MPI (according to the user’s code). OpenMP can also be used for parallelism on a single node using CPUs as well as GPUs or mixed with MPI. By default, AmgX uses a C-based API.
The specific
9%
21.02.2018
a "user" vegan, is to look at Remora. This is a great tool that allows a user to get a high-level view of the resources they used when their application was run. It also works with MPI applications. Remora
9%
08.08.2014
Analytics libraries
R/parallel
Add-on package extends R by adding parallel computing capabilities
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2557021/
Rmpi
Wrapper to MPI
9%
14.08.2023
a local Linux laptop or desktop and either local data that you want to transfer to the cluster or data that is on the cluster that you want to copy to your machine. By “local” I mean something in your
9%
21.03.2018
The Linux kernel is a very complex piece of software used on a variety of computers, including embedded devices that need real-time performance, hand-held devices, laptops, desktops, servers
9%
08.06.2021
installed into /usr/local/anaconda3
by
root
.
The startup definitions for Anaconda were in my .bashrc
file, so it ran just fine before building legate.core
.
The laptop I used has the following
9%
11.09.2023
then use this shared space to, perhaps, access better performing storage to improve performance.
Quite a few distributed applications, primarily the message passing interface (MPI), only had one process
9%
12.02.2013
of Open MPI installed and a user wanted to try the PetSc libraries with a new version, you could easily install and build everything in /opt
and have the user running new code without rebooting nodes
9%
08.05.2012
of the difficulties in producing content is the dynamic nature of the methods and practices of HPC. Some fundamental aspects are well documented – MPI, for instance – and others, such as GPU computing, are currently