Register-transfer level digital design automation: The allocation process
DAC '78 Proceedings of the 15th Design Automation Conference
DAC '78 Proceedings of the 15th Design Automation Conference
Measuring designer performance to verify design automation systems
DAC '77 Proceedings of the 14th Design Automation Conference
The MIMOLA design system a computer aided digital processor design method
DAC '79 Proceedings of the 16th Design Automation Conference
The CMU design automation system: An example of automated data path design
DAC '79 Proceedings of the 16th Design Automation Conference
Automated exploration of the design space for register-transfer (rt) systems.
Automated exploration of the design space for register-transfer (rt) systems.
Computer structures: Readings and examples (McGraw-Hill computer science series)
Computer structures: Readings and examples (McGraw-Hill computer science series)
The CMU RT-CAD system: an innovative approach to computer aided design
AFIPS '76 Proceedings of the June 7-10, 1976, national computer conference and exposition
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Design automation at the register transfer level of design is still in its infancy, and it is not yet completely understood what the appropriate measures used in directing the automated design process should be. To establish these measures, results of these design automation systems must be compared with some near optimal designs. A set of statistically based experiments is developed to estimate near optimal designs. A method is demonstrated for gathering data on designer performance, specifically at the different levels of systems design, and in general, for calibration of other design automation systems where the intuitive designer still performs more capably than the present design algorithms. An analysis of variance is used to indicate the relative importance of various decisions in a system design. It is shown that the algorithm to be implemented and the hardware design style account for 90 percent of the variation in the results. Thus. selecting the design style (e.g., distributed, microprocessor, pipelined, etc.) is the most important parameter for a design automation system.