-
Notifications
You must be signed in to change notification settings - Fork 21
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
3 changed files
with
27 additions
and
0 deletions.
There are no files selected for viewing
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,20 @@ | ||
.. _ShudlerIsav19: | ||
|
||
*************************************************************************** | ||
Spack meets singularity: creating movable in-situ analysis stacks with ease | ||
*************************************************************************** | ||
|
||
Sergei Shudler, Nicola Ferrier, Joseph Insley, Michael E Papka, Silvio Rizzi | ||
|
||
============ | ||
Full Text | ||
============ | ||
|
||
Link to the full text `PDF <https://dl.acm.org/doi/abs/10.1145/3364228.3364682>`_. | ||
|
||
|
||
======== | ||
Abstract | ||
======== | ||
|
||
In situ data analysis and visualization is a promising technique to handle the enormous amount of data an extreme-scale application produces. One challenge users often face in adopting in situ techniques is setting the right environment on a target machine. Platforms such as SENSEI require complex software stacks that consist of various analysis packages and visualization applications. The user has to make sure all these prerequisites exist on the target machine, which often involves compiling and setting them up from scratch. In this paper, we leverage the containers technology (eg, light-weight virtualization images) and provide users with Singularity containers that encapsulate ready-to-use, movable in situ software stacks. Moreover, we make use of Spack to ease the process of creating these containers. Finally, we evaluate this solution by running in situ analysis from within a container on an HPC system. |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters