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%
21.12.2017
essential is support for parallel programming models such as OpenMP (Open Multiprocessing, a directive-based model for parallelization with threads in a shared main memory) and MPI (Message Passing Interface
13%
18.09.2017
)
CPU utilization
I/O usage (Lustre, DVS)
NUMA properties
Network topology
MPI communication statistics
Power consumption
CPU temperatures
Detailed application timing
To capture
12%
22.08.2017
library, Parallel Python, variations on queuing systems such as 0MQ (zeromq
), and the mpi4py
bindings of the Message Passing Interface (MPI) standard for writing MPI code in Python.
Another cool aspect
13%
10.07.2017
passwordless SSH and pdsh, a high-performance, parallel remote shell utility. MPI and GFortran will be installed for building MPI applications and testing.
At this point, the ClusterHAT should be assembled
16%
17.05.2017
improve application performance and the ability to run larger problems. The great thing about HDF5 is that, behind the scenes, it is performing MPI-IO. A great deal of time has been spent designing
12%
21.03.2017
and binary data, can be used by parallel applications (MPI), has a large number of language plugins; and is fairly easy to use.
In a previous article, I introduced HDF5, focusing on the concepts and strengths
13%
22.02.2017
to build the HDF5 libraries since they will require an MPI library with MPI-IO support. MPI-IO is a low-level interface for carrying out parallel I/O. It gives you a great deal of flexibility but also
13%
25.01.2017
-dimensional array from one-dimensional arrays.
The use of coarrays can be thought of as opposite the way distributed arrays are used in MPI. With MPI applications, each rank or process has a local array; then
12%
15.12.2016
implemented the HPF extensions, but others did not. While the compilers were being written, a Message Passing Interface (MPI) standard for passing data between processors, even if they weren’t on the same node