11%
13.06.2018
.5 laptop, these examples won’t involve any GPUs.
Example 1
The first example is very simple: just a base OS along with the GCC compilers (GCC, G++, and GFortran). The HPCCM recipe is basically trivial
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%
21.03.2018
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%
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%
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
9%
16.11.2017
, Figure 1 shows a screen capture from my laptop running this command.
Figure 1: Output from the “watch -n 1 uptime” command.
One useful option to use
9%
18.10.2017
, particularly for HPC. Vmstat reports Linux system virtual memory statistics. Although it has several “modes,” I find the default mode to be extremely useful. Listing 2 is a quick snapshot of a Linux laptop
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
9%
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
10%
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