Synopsys, Inc.

Tibco Software Inc.

Achyutram Bhamidipaty

Stephen Lee Manley

Stephen P Morgan

Peter John Nicklin

Tim Harnett

Jean-Francois Roy

Abinas Tewari

Methods, program products, and systems implementing dynamic parsing rules are disclosed. Log data from a variety of log producers can be parsed using parsing rules to generate information about an information system. The parsing rules can include system parsing rules and custom parsing rules. A state machine can be used to detect conflicts between various parsing rules. A central server can distribute the system parsing rules and custom parsing rules to one or more remote servers for distributed processing. In a hierarchical parsing system, a first tier parser can be used to identify types of sources generating the log data. Log data from each type of log source can be sent to a second tier parser that corresponds to the type of log source.

Dynamic parsing rules

Embodiments of the present invention relate to a computer-controlled method for extracting cell parasitic characteristics for netlist back-annotation in a circuit that comprises a row and column array of repeated cells. The method comprises the steps of generating parasitic and connection data for a row and a column of said cells in the arrayed circuit, duplicating the generated parasitic data for an additional row and an additional column in the arrayed circuit; synthesizing connection data for the additional row from a connected cell in that additional row; synthesizing connection data for the additional column from a connected cell in that additional column, and making the generated parasitic data and the synthesized connection data available for subsequent back-annotation of the netlist.

Efficient extractor for post-layout simulation on memories

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San Jose, CA, United States of America

Achyutram Bhamidipaty