12%
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
12%
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
12%
19.02.2020
to be on the system. If you want to build or run containers, you need to be part of that group. Adding someone to an existing group is not difficult:
$ sudo usermod -a -G docker layton
Chris Hoffman wrote an article
12%
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
12%
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
12%
21.11.2012
, and subtract the first reading from the second.
034 !
035 ! This function is meant to suggest the similar routines:
036 !
037 ! "omp_get_wtime ( )" in OpenMP,
038 ! "MPI_Wtime ( )" in MPI,
039
12%
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
12%
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
12%
24.02.2022
| dshbak -c
----------------
10.0.0.[3-6]
----------------
test.txt
I/O and Performance Benchmarking
MDTest is an MPI-based metadata performance testing application designed to test parallel filesystems
12%
02.02.2025
, which is a metadata benchmark. Both of these tools use MPI to run tests and have been around for quite a while, so they are robust, well-seasoned, and reasonably well understood.
IOR has been used
