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Legacy Data: A Structured Methodology for Device Migration in DSM Technology

Über Legacy Data: A Structured Methodology for Device Migration in DSM Technology

Legacy Data: A Structured Methodology For Device Migration in DSM Technology deals with the migration of existing hard IP from one technology to another using repeatable procedures. The challenge of hard IP migration is not simply an EDA problem but rather a client application specification problem. It requires a deep understanding of the process technologies, EDA tools (and their interfaces) and target applications. Legacy Data: A Structured Methodology For Device Migration in DSM Technology is unique in that there are currently no reference books focused on legacy data reuse, especially for hard IP. This book will allow CAD practitioners to quickly develop methodologies that capitalize on the large volumes of legacy data available within a company today. It details the issues of developing a structured methodology, building verification test benches, and validating the final physical design.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9781461349822
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 152
  • Veröffentlicht:
  • 30. Oktober 2012
  • Abmessungen:
  • 155x9x235 mm.
  • Gewicht:
  • 242 g.
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Beschreibung von Legacy Data: A Structured Methodology for Device Migration in DSM Technology

Legacy Data: A Structured Methodology For Device Migration in DSM Technology deals with the migration of existing hard IP from one technology to another using repeatable procedures. The challenge of hard IP migration is not simply an EDA problem but rather a client application specification problem. It requires a deep understanding of the process technologies, EDA tools (and their interfaces) and target applications.
Legacy Data: A Structured Methodology For Device Migration in DSM Technology is unique in that there are currently no reference books focused on legacy data reuse, especially for hard IP. This book will allow CAD practitioners to quickly develop methodologies that capitalize on the large volumes of legacy data available within a company today. It details the issues of developing a structured methodology, building verification test benches, and validating the final physical design.

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