scispace - formally typeset
Search or ask a question
Institution

Cadence Design Systems

CompanySan Jose, California, United States
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.


Papers
More filters
Proceedings ArticleDOI
05 May 1996
TL;DR: This paper presents new methods by describing how they can be used to accelerate finite-difference, shooting-Newton, and harmonic-balance based algorithms for periodic steady-state analysis.
Abstract: RF integrated circuit designers make extensive use of simulation tools which perform nonlinear periodic steady-state analysis and its extensions. However, the computational costs of these simulation tools have restricted users from examining the detailed behavior of complete RF subsystems. Recent algorithmic developments, based on matrix-implicit iterative methods, is rapidly changing this situation and providing new faster tools which can easily analyze circuits with hundreds of devices. In this paper we present these new methods by describing how they can be used to accelerate finite-difference, shooting-Newton, and harmonic-balance based algorithms for periodic steady-state analysis.

80 citations

Proceedings ArticleDOI
07 Jun 2004
TL;DR: This paper describes the description of two optimizations that decrease the overhead of desynchronization by applying temporal analysis on a formal execution model of the desynchronized design, and uncovers significant amounts of timing slack.
Abstract: The desynchronization approach combines a traditional synchronous specification style with a robust asynchronous implementation model. The main contribution of this paper is the description of two optimizations that decrease the overhead of desynchronization. First, we investigate the use of clustering to vary the granularity of desynchronization. Second, by applying temporal analysis on a formal execution model of the desynchronized design, we uncover significant amounts of timing slack. These methods are successfully applied to industrial RTL designs.

80 citations

Journal ArticleDOI
TL;DR: An expanded analysis of the original raw study data became necessary for the FDA apaproval of intravenous (IV) acetaminophen, and a stepwise regression analysis of why adverse events of nausea and vomiting were numerically higher in the IV Acetaminophen group compared with placebo was conducted.
Abstract: Background and Methods: From the time that Sinatra et al. (Anesthesiology. 2005;102:822) was published to FDA apaproval of intravenous (IV) acetaminophen, an expanded analysis of the original raw study data became necessary for the regulatory submission. The following analyses were conducted: (1) sum of pain intensity differences over 24 hours (SPID24) using currently accepted imputation methods to account for both missing data and the effects of rescue; (2) efficacy results after the first 6 hours; (3) effects of gender, race/ethnicity, age, weight, surgical site, ASA Class, and serotonin antagonists; and (4) a stepwise regression analysis of why adverse events of nausea and vomiting were numerically (although not statistically) higher in the IV acetaminophen group compared with placebo. Results: Sum of pain intensity differences over 24 hours using a 0- to 100-mm visual analog scale was statistically significantly (P < 0.001) in favor of IV acetaminophen (n = 49) compared with placebo (n = 52). Time to rescue was found to be 3.9 and 2.1 hours, respectively, for total hip and knee arthroplasty compared with 0.8 hours for the placebo group. Rescue medication consumption, requests, and actual administration were all significantly lower in the IV acetaminophen group compared with placebo for each dosing interval, except in the 6- to 12-hours interval where a numerical trend was observed. Analysis of various subset variables demonstrated similar efficacy for each variable. A stepwise regression analysis demonstrated that AE reports of nausea and vomiting were most likely due to prerandomization events, particularly opioid consumption and presence of nausea prior to randomization. Conclusion: Repeated-dose 24-hours end points were found to be as robust as previously published results. IV acetaminophen efficacy and safety appeared to be unaffected by specific subset variables.▪

79 citations

Patent
25 Feb 2000
TL;DR: In this paper, a low power controller for a discontinuous switched mode power converter is proposed, where the controller monitors both the converter output voltage and the inductor current and uses this information to modulate a peak induction current trip point and controller switching frequency according to a control law curve.
Abstract: A low-power controller for a discontinuous switched mode power converter. The controller has an inductor current sensing circuit to measure the inductor current flowing through an inductive charge storage element as well as an output voltage sensing circuit to monitor output voltage. The controller monitors both the converter output voltage and the inductor current and uses this information to modulate a peak inductor current trip point and controller switching frequency according to a control law curve in order to regulate converter output voltage. The controller prevents the switching frequency from falling below a predetermined minimum frequency. The control law curve is selectable to specify controller operation according to a desired combination of minimum switching frequency and maximum peak inductor current.

79 citations

Journal ArticleDOI
TL;DR: This work presents a hardware-efficient design increasing throughput for the AES algorithm using a high-speed parallel pipelined architecture and achieves a high throughput of 29.77 Gbps in encryption whereas the highest throughput reported in literature is 21.54 Gbps.

79 citations


Authors

Showing all 3142 results

NameH-indexPapersCitations
Alberto Sangiovanni-Vincentelli9993445201
Derong Liu7760819399
Andrew B. Kahng7661824097
Jason Cong7659424773
Kenneth L. McMillan6015020835
Edoardo Charbon6052612293
Richard B. Fair5920514653
John P. Hayes5830211206
Sachin S. Sapatnekar5642412543
Wayne G. Paprosky5619610571
Robert G. Meyer4911613011
Scott M. Sporer491508085
Charles J. Alpert492248287
Joao Marques-Silva482899374
Paulo Flores483217617
Network Information
Related Institutions (5)
Intel
68.8K papers, 1.6M citations

90% related

Qualcomm
38.4K papers, 804.6K citations

87% related

Motorola
38.2K papers, 968.7K citations

84% related

Samsung
163.6K papers, 2M citations

83% related

Hewlett-Packard
59.8K papers, 1.4M citations

82% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
2021103
2020185
2019212
2018103
201788