Cadence Design Systems

About: Cadence Design Systems is a company organization based out in San Jose, California, United States. It is known for research contribution in the topics: Circuit design & Routing (electronic design automation). The organization has 3139 authors who have published 3745 publications receiving 66410 citations. The organization is also known as: Cadence Design Systems, Inc.

System and method for hierarchical device extraction

Abstract: A device extractor (120) for extracting devices from a hierarchical cell design (206). The device extractor (120) selects a cell from the lowest level of the hierarchy and searches the cell for the device components. The device extractor (120) searches each cell in the lowest level and then selects a "parent" cell in the penultimate level. The parent cell, and all of the children cells of the parent cell, are searched. The selection and search process continues until all of the components of the device (208) are identified in a cell or the children cell of the cell and a proper relationship between the components is determined. The components of the identified device (208) are masked so that they are not identified and associated with another device during subsequent searches.

A randomized study of the efficacy and safety of intravenous acetaminophen vs. Intravenous placebo for the treatment of fever

Abstract: This randomized, double-blind, placebo-controlled study evaluated the antipyretic effect and safety of intravenous (i.v.) acetaminophen using an endotoxin-induced fever model. Subjects exhibiting sufficient fever response following administration of reference standard endotoxin (RSE) were randomly assigned to receive i.v. acetaminophen 1,000 mg (n = 31) or matching placebo (n = 29). The primary efficacy end point was the weighted sum of temperature differences from baseline through 6 h. Relative to placebo, i.v. acetaminophen administration produced a rapid decrease in temperature that persisted throughout the 6-h study period. The primary end point favored i.v. acetaminophen over placebo (P < 0.001). Temperature differences from baseline reached statistical significance at T30 min after endotoxin administration (15 min after completing the study medication infusion). Acetaminophen administered i.v. was well tolerated, and the frequency of adverse events was comparable to that after administration of i.v. placebo. This study shows that i.v. acetaminophen in a single 1,000-mg dose is safe and effective in reducing fever.

Method and apparatus for scalable interconnect solution

Abstract: An innovative routing method for an integrated circuit design layout. The layout can include design netlists and library cells. A multiple-level global routing can generate topological wire for each net. An area oriented graph-based detail routing on the design can be performed. A post route optimization after the detail routing can be performed to further improve the routing quality. Some methods can be single threaded all or some of the time, and/or multi-threaded some or all of the time.

Method and apparatus for generating routes for groups of related node configurations

Abstract: Some embodiments of the invention provide a method that identifies a set of routes for a net that has a set of pins in a region of a design layout. The method initially partitions the region into a number of sub-regions. It then identifies a first set of sub-regions that contains the net's pins. Based on the first set of sub-regions, the method identifies a first route that traverses a second set of sub-regions. The first and second sets of sub-regions have a particular relationship. Based on this particular relationship, the method identifies a second route from the first route, where the second route traverses the first set of sub-regions.

Method and apparatus for performing extraction using a model trained with Bayesian inference using a hybrid monte carlo method

Abstract: A system for using machine learning based upon Bayesian inference using a hybrid monte carlo method to create a model for performing integrated circuit layout extraction is disclosed. The system of the present invention has two main phases: model creation and model application. The model creation phase comprises creating one or more extraction models using machine-learning techniques. First, a complex extraction problem is decomposed into smaller simpler extraction problems. Then, each smaller extraction problem is then analyzed to identify a set of physical parameters that fully define the smaller extraction problem. Next, complex mathematical models are created using machine learning techniques for all of the smaller simpler extraction problems. The machine learning is performed by first creating training data sets composed of the identified parameters from typical examples of the smaller extraction problem and the answers to those example extraction problems as solved using a highly accurate physics-based field solver. The system uses Bayesian inference implemented with a hybrid Monte Carlo method to train a set of neural networks for extraction problems. After the creation of a set of models for each of the smaller simpler extraction problems, the machine-learning based models may be used for extraction.