Abstract
Several application developers are currently faced with the problem of moving a complex system from a single-core to a multicore platform.
The problem encompasses several issues that go from modeling issues (the need to represent the system features of interest with sufficient accuracy) to analysis and optimization techniques, to the selection of the right formulations for constraints that relate to time. We report on the initial findings in a case study in which the application of interest is a fuel injection system. We provide an analysis on the limitations of AUTOSAR and the existing modeling tools with respect to the representation of the parameters of interest for timing analysis, and we discuss applicable optimization methods and analysis algorithms.
The problem encompasses several issues that go from modeling issues (the need to represent the system features of interest with sufficient accuracy) to analysis and optimization techniques, to the selection of the right formulations for constraints that relate to time. We report on the initial findings in a case study in which the application of interest is a fuel injection system. We provide an analysis on the limitations of AUTOSAR and the existing modeling tools with respect to the representation of the parameters of interest for timing analysis, and we discuss applicable optimization methods and analysis algorithms.
| Original language | English |
|---|---|
| Title of host publication | SAE 2016 World Congress and Exhibition |
| Place of Publication | Warrendale, PA |
| Publisher | SAE International |
| DOIs | |
| Publication status | Published - 5 Apr 2016 |
Keywords
- Fuel injection
- Mathematic models
- Optimization
- Simulation