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The Berkeley Model and Algorithm Prototyping Platform
08 Mar 2017 | Online Presentations | Contributor(s): Jaijeet Roychowdhury
Berkeley MAPP is a MATLAB-based framework for quickly prototyping device compact models and simulation algorithms. MAPP’s internal code structuring, which differs markedly from that of Berkeley SPICE and related simulators, allows users to add new devices with only minimal knowledge of simulation algorithms, and vice-versa. We provide an overview of MAPP's modelling format ModSpec, its Verilog-A translator VAPP and its simulation capabilities. We will also briefly mention recent additions to MAPP, including memristor/RRAM models, BJT snapback models, table-based modelling capabilities, etc..
MAPP: goals, status, and plans
25 May 2016 | Presentation Materials | Contributor(s): Jaijeet Roychowdhury
MAPP: The Berkeley Model and Algorithm Prototyping Platform
11 Jan 2016 | Presentation Materials | Contributor(s): Tianshi Wang, Aadithya V Karthik, Jaijeet Roychowdhury
This presentation is part of the 8th IEEE/ACM Workshop on Variability Modeling and Characterization (VMC) 2015. It provides an introduction to Berkeley Model and Algorithm Prototyping Platform (MAPP). MAPP is a MATLAB-based platform that provides a complete environment for developing, testing, experimentally validating and inserting compact models in open source simulation platforms. It also helps developers prototype new simulation algorithms more conveniently and quickly. In this...
Dealing with Common Numerical Issues in Compact Models (Part 2)
28 Jul 2014 | Online Presentations | Contributor(s): Jaijeet Roychowdhury
Dealing with Common Numerical Issues in Compact Models (Part 1)
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