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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] |