| Areas | |
|---|---|
| Serie de libros (96) |
1366
|
| Nachhaltigkeit |
3
|
| Gesundheitswesen |
1
|
| Letra |
2354
|
| Ciencias Naturales |
5397
|
| Matemática | 229 |
| Informática | 318 |
| Física | 979 |
| Química | 1362 |
| Geociencias | 131 |
| Medicina humana | 243 |
| Estomatología | 10 |
| Veterinaria | 102 |
| Farmacia | 147 |
| Biología | 835 |
| Bioquímica, biología molecular, tecnología genética | 121 |
| Biofísica | 25 |
| Nutrición | 45 |
| Agricultura | 1004 |
| Silvicultura | 201 |
| Horticultura | 20 |
| Ecología y conservación de la tierra | 148 |
| Ciencias Ingeniería |
1784
|
| General |
97
|
|
Leitlinien Unfallchirurgie
5. Auflage bestellen |
|
Indice, PDF (45 KB)
Lectura de prueba, PDF (160 KB)
Automotive control software is developed according to the AUTomotive Open System ARchitecture (AUTOSAR) standard. High development costs require the re-use of existing software when the hardware platform changes from a single-core to a multicore electronic control unit (ECU).
This Ph.D. thesis focuses on the migration of AUTOSAR legacy software to a multicore ECU. Different parallelization methods are proposed and evaluated; RunPar and Supertasks on runnable-level, timed implicit communication on task-level, and the parallel schedule quality metric for quantification of combinations. The methods respect data dependencies and still enable parallel execution, they exploit the energy-saving potential of the processor, they guarantee latency constraints, and they reproduce the reference data-flow.
| ISBN-13 (Impresion) | 9783736994317 |
| ISBN-13 (E-Book) | 9783736984318 |
| Idioma | Inglés |
| Numero de paginas | 220 |
| Edicion | 1. Aufl. |
| Lugar de publicacion | Göttingen |
| Lugar de la disertacion | Ilmenau |
| Fecha de publicacion | 20.12.2016 |
| Clasificacion simple | Tesis doctoral |
| Area |
Informática
|
| Palabras claves | Automotive control software, AUTomotive Open System ARchitecture (AUTOSAR), data-flow |