Qucs frequency sweep tutorial serial#
Qucs frequency sweep tutorial manual#
Qucs frequency sweep tutorial code#

Qucs frequency sweep tutorial code#

Portions of the Xyce TM code are: Copyright c 2002, The Regents of the University of California. Xyce TM Electronic Simulator and Xyce TM are trademarks of Sandia Corporation. Copyright c 2002-2015 Sandia Corporation. Trademarks The information herein is subject to change without notice. Attention has been paid to the specific nature of circuit-simulation problems to ensure that optimal parallel efficiency is achieved as the number of processors grows. These include serial, shared-memory and distributed-memory parallel platforms. Xyce is a parallel code in the most general sense of the phrase - a message passing parallel implementation - which allows it to run efficiently a wide range of computing platforms. Object-oriented code design and implementation using modern coding practices. Device models that are specifically tailored to meet Sandia's needs, including some radiation- aware devices (for Sandia users only). This allows one more » to develop new types of analysis without requiring the implementation of analysis-specific device models. A differential-algebraic-equation (DAE) formulation, which better isolates the device model package from solver algorithms.

Qucs frequency sweep tutorial serial#

This includes support for most popular parallel and serial computers. This development has focused on improving capability over the current state-of-the-art in the following areas: Capability to solve extremely large circuit problems by supporting large-scale parallel com- puting platforms (up to thousands of processors). Xyce has been de- signed as a SPICE-compatible, high-performance analog circuit simulator, and has been written to support the simulation needs of the Sandia National Laboratories electrical designers.

Qucs frequency sweep tutorial manual#

This manual describes the use of the Xyce Parallel Electronic Simulator. Attention has been paid to the specific nature of circuit-simulation problems to ensure that optimal parallel efficiency is more » achieved as the number of processors grows.

This allows one to develop new types of analysis without requiring the implementation of analysis-specific device models.