摘要:
A technology specific information to design the integrated circuit is received. A plurality of canonical hierarchical models to capture an integrated circuit capacitance are created. The plurality of canonical hierarchical models includes at least a canonical model to capture a capacitance of a device having a plurality of conductors, and a canonical model to capture a capacitance between at least a portion of the device and one or more other conductors of the integrated circuit. The canonical hierarchical models can be applied to a layout of the integrated circuit. A capacitance for the layout can be determined based on the canonical hierarchical models.
摘要:
A method is provided to speed up timing optimization after placement by parallelizing the optimization step. The method includes performing multiple partitions in the set of timing critical paths such that each partition can be optimized independently in a separate processor. To eliminate the need for inter-processor communication, conditions of timing independence and physical independence are imposed on each partition, thereby defining sub-sets of endpoints and paths associated therewith. The optimizing is performed in parallel by the processors, each of the processors optimizing timing of the paths associated with the endpoints in respective sub-sets. In a preferred embodiment, an endpoint graph is constructed from the list of critical paths, where the endpoint graph has at least one vertex representing critical paths associated with a given endpoint. The partitioning step then includes the step of partitioning the endpoint graph to define sub-sets of vertices.
摘要:
The present invention relates to devices, systems and methods for treating tumors. In particular, the present invention relates to enclosures housing cell-coated supports for promoting regression of tumors, such as cancerous tumors, papillomas, and warts. In preferred embodiments, the present invention provides methods of promoting tumor regression employing enclosures secreting therapeutic proteins.
摘要:
The present invention relates to devices, systems and methods for treating tumors. In particular, the present invention relates to enclosures housing cell-coated supports for promoting regression of tumors, such as cancerous tumors, papillomas, and warts. In preferred embodiments, the present invention provides methods of promoting tumor regression employing enclosures secreting therapeutic proteins.
摘要:
A method is provided to speed up timing optimization after placement by parallelizing the optimization step. The method includes performing multiple partitions in the set of timing critical paths such that each partition can be optimized independently in a separate processor. To eliminate the need for inter-processor communication, conditions of timing independence and physical independence are imposed on each partition, thereby defining sub-sets of endpoints and paths associated therewith. The optimizing is performed in parallel by the processors, each of the processors optimizing timing of the paths associated with the endpoints in respective sub-sets. In a preferred embodiment, an endpoint graph is constructed from the list of critical paths, where the endpoint graph has at least one vertex representing critical paths associated with a given endpoint. The partitioning step then includes the step of partitioning the endpoint graph to define sub-sets of vertices.
摘要:
A technology specific information to design the integrated circuit is received. A plurality of canonical hierarchical models to capture an integrated circuit capacitance are created. The plurality of canonical hierarchical models includes at least a canonical model to capture a capacitance of a device having a plurality of conductors, and a canonical model to capture a capacitance between at least a portion of the device and one or more other conductors of the integrated circuit. The canonical hierarchical models can be applied to a layout of the integrated circuit. A capacitance for the layout can be determined based on the canonical hierarchical models.