Faodail: Enabling In Situ Analytics for Next-Generation
Systems
Author/Presenter
Event Type
Workshop
Data Analytics
Data management
SIGHPC Workshop
Visualization
TimeSunday, November 12th2:05pm -
2:10pm
Location605
DescriptionExisting approaches for in situ analysis and
visualization (ISAV) assume that scientific simulations
are written in a bulk synchronous parallel (BSP)
execution model. However, because of the projected
increase in heterogeneity on future systems, alternative
execution models, e.g., asynchronous many-task (AMT),
have been proposed. In an AMT environment, application
data is no longer fixed to a particular location which
makes in situ processing more difficult. One solution to
this problem is to enhance the data management services
used by AMT runtimes to make their data accessible to
both AMT applications and non-AMT ISAV tools. Decoupling
these data management services from the AMT runtime
provides an opportunity to support ISAV tools that can
interact with either AMT or BSP applications.
In this paper, we introduce Faodail, a new data management layer that can support the diverse needs of multiple communities on modern platforms. While Faodail is designed to serve as a native data management service for Sandia's DARMA AMT framework, it also provides a flexible means of integrating applications with ISAV tools. We explore this idea with an example that connects ISAV tools to a particle-in-cell plasma simulation.
In this paper, we introduce Faodail, a new data management layer that can support the diverse needs of multiple communities on modern platforms. While Faodail is designed to serve as a native data management service for Sandia's DARMA AMT framework, it also provides a flexible means of integrating applications with ISAV tools. We explore this idea with an example that connects ISAV tools to a particle-in-cell plasma simulation.
Author/Presenter
