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| Authors: | Eckart Zitzler, Juergen Teich, Shuvra Bhattacharyya |
| Group: | Computer Engineering |
| Type: | Inproceedings |
| Title: | Evolutionary Algorithm Based Exploration of Software Schedules for Digital Signal Processors |
| Year: | 1999 |
| Month: | July |
| Pub-Key: | ZTB1999a |
| Book Titel: | Genetic and Evolutionary Computation Conference (GECCO-99) |
| Pages: | 1762-1769 |
| Publisher: | Morgan Kaufmann, San Francisco, CA |
| Abstract: | The simultaneous exploration of tradeoffs between program memory, data memory and execution time requirements (3D) for DSP (digital signal processing) algorithms in embedded computing environments is a demanding application and example par excellence of a multi-objective optimization problem. In order to solve this problem, two evolutionary algorithms are shown to be successfully applicable for exploring Pareto-optimal solutions. For different well-known target DSP processors, the trade-off fronts are analyzed. The two approaches are quantitatively compared. |
| Remarks: | Genetic and Evolutionary Computation Conference (GECCO-99), Orlando, July 1999, pages 1762-1769 |
| Location: | Orlando, USA |
| Resources: | [BibTeX] [Paper as PDF] |
