Synopsys, Inc.

Daniel D Hung

Michael Lawrence Rieger

Mathias Boman

Michael G Brashler

Thomas Brett Hall

Naji V Bekhazi

Some embodiments of the present invention overcome I/O bottlenecks of an EDA work flow by keeping layout data distributed during handoffs among different processing stages. Specifically, some embodiments leverage a concurrent computation paradigm where data is propagated incrementally between stages, and where data processing among consecutive stages and the I/O between stages are executed concurrently. Specifically, different data processing stages can partition the layout data differently, and portions of the layout data that are not required by a data processing stage can be either passed-through or passed-around the data processing stage.

Incremental concurrent processing for efficient computation of high-volume layout data

Some embodiments of the present invention overcome I/O bottlenecks of an EDA work flow by keeping layout data distributed during handoffs among different processing stages. Specifically, some embodiments leverage a concurrent computation paradigm where data is propagated incrementally between stages, and where data processing among consecutive stages and the I/O between stages are executed concurrently. Specifically, some embodiments can generate a template database which contains the unique templates in a set of templates. During operation, an embodiment can determine a set of templates for a layout. Next, the system can determine a processing schedule based on a spatially coherent ordering of the set of templates. Next, the system can process the templates according to the spatially coherent processing schedule. Processing templates in a spatially coherent order can ensure that the downstream processes in the concurrent work flow will be able to maximize concurrency, thereby improving overall performance of the system.

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Sunnyvale, CA, United States of America

Daniel D Hung