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A genetic approach to the design space exploration of superscalar microprocessor architectures.
| Content Provider | CiteSeerX |
|---|---|
| Author | Olivieri, Mauro |
| Abstract | This paper illustrates the results of a study on the automatic design space exploration of superscalar CPU architectures through genetic algorithms. The approach can take into account instruction level parallelism in conjunction with clock cycle time estimates, which could be a cumbersome task if totally demanded to human decisions. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Cumbersome Task Human Decision Clock Cycle Time Estimate Genetic Algorithm Account Instruction Level Parallelism Superscalar Cpu Automatic Design Space Exploration |
| Content Type | Text |
| Resource Type | Article |
