Verilog-AMS in Gnucap

Mixed-Signal Modelling and Simulation with Verilog-AMS

Verilog-AMS is a standardised modelling language widely used in analog and mixed-signal design, but without an open reference implementation. The language supports high-level behavioural descriptions as well as structural descriptions of systems and components. This Project will make substantial progress towards a Gnucap based free/libre Verilog-AMS implementation. Gnucap is a modular mixed-signal circuit simulator, and has been released under a copyleft license with the intent to avoid patent issues. Gnucap provides partial support for structural Verilog and encompasses an analog modelling language that has influenced the Verilog standards. We will enhance data structures and algorithms in Gnucap, and improve Verilog support on the simulator level. We will implement a Verilog-AMS behavioural model generator targetting Gnucap with the intent to support simulators with similar architecture later on. The project's own website:

http://gnucap.org/dokuwiki/doku.php/gnucap:projects:nlnet:verilogams

Task 1. modelgen-verilog: Provide a replacement for ADMS

Task 2. Verilog-AMS compliance on the simulator level

Task 3. Compiler optimisations

Acknowledgement: This project was funded through the NGI0 Entrust Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 101069594.

The first IC designed in B&H has been fabricated

On 18 May 2023, the Faculty of Electrical Engineering of the University of Banja Luka, Bosnia and Herzegovina, presented the first integrated chip of semiconductor technology, which represents the most sophisticated technological process.

FIG: IC oscillates as per design specification and pre/post-layout simulation

Faculty of Electrical Engineering has become one of the higher education institutions where one of the most important engineering disciplines of today and the future is studied according to the best world programmes, with the direct application of industrial standards in teaching, thus preparing the next generation of engineers to be the flywheel of economic revival through innovation.

It took students and professors at the Faculty of Electrical Engineering five years to develop the first integrated chip. Student Vanja Žerić is one of the innovators of this idea, and he states that the knowledge gained was a prerequisite to start the production.

"We are talking about two chips, one of which is a stabilizer or a voltage regulator that has the ability to stabilize the voltage from 1.8 to 3.3 volts. The second was an oscillator that is essential for a chip like this.'', Vanja said.

Assistant Professor of the Faculty of Electrical Engineering, Aleksandar Pajkanović, PhD, who teaches several courses in the field of chip development at the Department of Electronics, pointed out that the CMOS technological process is the most sophisticated technology that exists in the world, and that it is commercially available, and that they have mastered it and demonstrated it through the implementation of the chip.

"It is particularly important to point out that this technology is significant as a military and industrial strategic resource as well as in higher education, and the most important thing is that we are now among world universities that study this field. It is usual for the implementation of chips to be done in doctoral studies, but with great efforts we managed to do it with third-year students. This chip is not intended for commercialization, as we developed it to demonstrate the capability and mastery of such advanced technology." Prof. Pajkanović stressed.

The details of that development are in the following references:

[1] A. Pajkanovic, “On the Application of Free CAD Software to Electronic Circuit Curricula”, 3rd IcETRAN2016, Zlatibor, Serbia, 2016

[2] A. Pajkanovic and Z. Ivanovic, “A Report on Recent Development in Application of Free CAD Software to IC Curricula,” 5th IcETRAN2018, Palic, Serbia, 2018.

[3] A. Pajkanovic, “Introducing Chisel to IC Design Curriculum at the Faculty of Electrical Engineering in Banja Luka”, 8th RISCV Workshop, Barcelona, Spain, 2018

[4] A. Pajkanovic, “CMOS IC Design from Schematic Level to Silicon within IC Curricula Using Free CAD Software”, INDEL2020, Banja Luka, B&H, 2020.

[5] A. Pajkanovic, “Free/Open Source EDA Tools Application in Digital IC Design Curricula”, 8th IcETRAN2021, Stanisici, B&H, 2021.

[6] A. Pajkanovic, “Open Source CMOS General Purpose Operational Amplifier", MIEL 2021

[7] A. Pajkanovic, "Free IC Design in Education", PSSOH 2021

[read more...]

 

[workshop] FreeCAD 3D parametric modeler

PSG COLLEGE OF TECHNOLOGY, COIMBATORE

9 DECEMBER, 2023

About the FreeCAD

FreeCAD is a general purpose open source parametric 3D CAD modeller. FreeCAD is aimed directly at mechanical engineering and product design but, being very generic, also fits in a wider range of uses around engineering, such as architecture, finite element analysis, 3D printing, and other tasks. FreeCAD offers tools to produce, export and edit solid, full-precision models, export them for 3D printing or CNC machining, create 2D drawings and views of your models, perform analyses such as Finite Element Analyses, or export model data such as quantities or bills of materials. FreeCAD features tools similar to other popular CAD packages and therefore also falls into the category of CAD, PLM, CAx, CAE and BIM. It is a feature based parametric modeler with a modular software architecture, making it possible to provide additional functionality without modifying the core system. As with other CAD modelers, it has many 2D components in order to sketch planar shapes or create production drawings. FreeCAD is also fundamentally a social project, as it is developed and maintained by a community of developers and users united by their passion for FreeCAD. In precise FreeCAD is:

• Made to build for the real world
• A powerful solid-based geometry kernel
• A wi(l)dly parametric environment
• File formats frenzy
• A parametric constraints-based 2D sketcher
• A large (and growing) multi-specialty ecosystem

About the Workshop 

The workshop will be conducted through spoken tutorial videos of 10 minutes duration. After the workshop, a link for the video tutorials will be shared to the participants for further learning. As it is an open source software, FreeCAD can be used free of cost for educational and industrial design purposes. Participants of this workshop can install this software on their laptop during this workshop and take it with them. Target participants of this workshop include: practicing engineers, faculty members, research scholars and students.

Registration details
The registration fee for the participants (Inclusive of GST) :

• Faculty members / Students / Research Scholars : Rs. 900/-
• Industry participants : Rs.1200/-

No TA/ DA/ ACCOMMODATION will be provided. Payment of registration fee for the workshop can be made through online mode

https://forms.gle/xqcQLSTnJcYLK2DNA

Last date for registration: November 25, 2023

For any queries, contact

The Organizing Secretaries,

FreeCAD Workshop, PSG College of Technology,

Peelamedu, Coimbatore-641004

email : vsk.amcs@psgtech.ac.in / mrp.prod@psgtech.ac.in

Mobile : 9952418357

[paper] Surface-Potential-Based Compact Modeling

M. Miura-Mattausch, T. Iizuka, H. Kikuchihara, H. J. Mattausch, and S. Saha

Evolution of Surface-Potential-Based Compact Modeling

IEEE EDS NEWSLETTER

OCTOBER 2023 VOL. 30, NO. 4 ISSN: 1074 1879

Abstract: Conventionally, a compact model of an electronic device is developed for utilization in circuit simulation. This means that the main task of the compact model is to accurately describe the characteristics of a device as a function of the applied voltages by simple equations in order to predict the performance of circuits using this device with sufficient precision. This overview article focuses on the compact modeling of the metal-oxide-semiconductor field-effect transistor (MOSFET)-device structure, which has the largest variety of applications. However, the modeling methodology is valid for any type of transistor or electronic device. The development of the compact modeling approach, based on the potential distribution induced within a transistor, is reviewed. The purpose of a compact model is to describe the transistor characteristics in a simple but accurate way, to enable correct circuit-performance prediction. Therefore, the basic physics of observed phenomena must be modeled by simplified and yet physically correct equations. To meet such requirements, potential-based modeling is a natural fit. A compact model and TCAD are both based on the same transistor equations. The difference is that TCAD considers the distribution of all physical quantities within a device, and a compact model integrates these distributions to calculate transistor characteristics at its nodes. The shortcomings of resulting simplifications, introduced for analytical integration, can be examined using TCAD, to identify observed phenomena still missing in the compact modeling. In this way, compact modeling is performed by learning from measurements macroscopically and from TCAD microscopically.

Fig: Schematic of a HV LDMOS FET (top) 

and its potential distribution (bottom)

[paper] ChipNeMo

Mingjie Liu, Teo Ene, Robert Kirby, Chris Cheng, Nathaniel Pinckney, Rongjian LiangJonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Brucek Khailany Kishor Kunal, Xiaowei Li, Hao Liu, Stuart Oberman, Sujeet Omar, Sreedhar Pratty, Ambar Sarkar Zhengjiang Shao, Hanfei Sun, Pratik P Suthar, Varun Tej, Kaizhe Xu, Haoxing Ren

ChipNeMo: Domain-Adapted LLMs for Chip Design

arXiv:2311.00176 [cs.CL]

DOI: 10.48550/arXiv.2311.00176

* NVIDIA

Abstract: ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, we instead adopt the following domain adaptation techniques: custom tokenizers, domain-adaptive continued pretraining, supervised fine-tuning (SFT) with domain-specific instructions, and domain-adapted retrieval models. We evaluate these methods on three selected LLM applications for chip design: an engineering assistant chatbot, EDA script generation, and bug summarization and analysis. Our results show that these domain adaptation techniques enable significant LLM performance improvements over general-purpose base models across the three evaluated applications, enabling up to 5x model size reduction with similar or better performance on a range of design tasks. Our findings also indicate that there’s still room for improvement between our current results and ideal outcomes. We believe that further investigation of domain-adapted LLM approaches will help close this gap in the future.

Fig: LLM script generator integration with EDA tools

Acknowledgements: The authors would like to thank: NVIDIA IT teams for their support on NVBugs integration; NVIDIA Hardware Security team for their support on security issues; NVIDIA NeMo teams for their support and guidance on training and inference of ChipNeMo models; NVIDIA Infrastructure teams for supporting the GPU training and inference resources for the project; NVIDIA Hardware design teams for their support and insight.