Abstract
The Scalable Simulation Framework (SSF) is an effort established to address the concern about tool quality. This work addresses the concern over unpredictable behavior. It is shown how the internal overheads of the Dartmouth implementation of the SSF API (DaSSF) have been measured, and how such measurements can be used to predict the performance of a given model, using given features of the simulator, without having to run, or even build, the model.
| Original language | English (US) |
|---|---|
| Pages | 156-164 |
| Number of pages | 9 |
| State | Published - Jan 1 1999 |
| Externally published | Yes |
| Event | Proceedings of the 1999 13th Workshop on Parallel and Distriuted Simulation (PADS'99) - Atlanta, GA, USA Duration: May 1 1999 → May 4 1999 |
Conference
| Conference | Proceedings of the 1999 13th Workshop on Parallel and Distriuted Simulation (PADS'99) |
|---|---|
| City | Atlanta, GA, USA |
| Period | 5/1/99 → 5/4/99 |
ASJC Scopus subject areas
- Engineering(all)