VSD – Library characterization and modelling – Part 2
VSD – Library characterization and modelling – Part 2, available at $29.99, has an average rating of 3.35, with 25 lectures, based on 74 reviews, and has 856 subscribers.
You will learn about Students/Participants will be able to create their own CDF files Students/Participants will be able to create their own libraries Students/Participants who have already taken Library characterization Part 1, will be able to understand modelling from scratch Learn about IP library characterization steps and process This course is ideal for individuals who are Anyone who is looking forward for hands-on industry examples on characterization or GUNA is an industry-grade characterization software, so anyone curious to know how industry level characterization engine works, this, alongwith Library charaterization Part 1, is a perfect course or Anyone interested in learning and knowing more in the field of VLSI, are welcome It is particularly useful for Anyone who is looking forward for hands-on industry examples on characterization or GUNA is an industry-grade characterization software, so anyone curious to know how industry level characterization engine works, this, alongwith Library charaterization Part 1, is a perfect course or Anyone interested in learning and knowing more in the field of VLSI, are welcome.
Enroll now: VSD – Library characterization and modelling – Part 2
Summary
Title: VSD – Library characterization and modelling – Part 2
Price: $29.99
Average Rating: 3.35
Number of Lectures: 25
Number of Published Lectures: 25
Number of Curriculum Items: 25
Number of Published Curriculum Objects: 25
Original Price: $189.99
Quality Status: approved
Status: Live
What You Will Learn
- Students/Participants will be able to create their own CDF files
- Students/Participants will be able to create their own libraries
- Students/Participants who have already taken Library characterization Part 1, will be able to understand modelling from scratch
- Learn about IP library characterization steps and process
Who Should Attend
- Anyone who is looking forward for hands-on industry examples on characterization
- GUNA is an industry-grade characterization software, so anyone curious to know how industry level characterization engine works, this, alongwith Library charaterization Part 1, is a perfect course
- Anyone interested in learning and knowing more in the field of VLSI, are welcome
Target Audiences
- Anyone who is looking forward for hands-on industry examples on characterization
- GUNA is an industry-grade characterization software, so anyone curious to know how industry level characterization engine works, this, alongwith Library charaterization Part 1, is a perfect course
- Anyone interested in learning and knowing more in the field of VLSI, are welcome
This webinar was conducted on 28th April, 2018
We are going to present “Characterization with GUNA : A characterization tool by Paripath”. We will go through the characterization flows – flows which are popular for standard cells, memories, IP’s. Within that, we will cover timing, noise, power and variation as 4 main topics of the characterization. Each one of those is expected to have a lab, where instructor will run GUNA as a standalone software and generate the models.
We will also clarify some concepts on chip variation, like what kind of variation exists (AOCV, POCV, SBOCV, LVF, etc), how do we tackle/model that, shortcoming of each on of this models and how do we move down the node, changing our model to account for some of the facts that show up in every transition to a new advanced node
So lot of exciting thing to be presented, and, the biggest thing about this webinar is the Instructor himself – Rohit Sharma.
About Instructor:
Rohit Sharma is Founder and CEO of Paripath Inc based in Milpitas, CA. He graduated from IIT Delhi. He has authored 2 books and published several papers in international conferences and journals. He has contributed to electronic design automation domain for over 20 years learning, improvising and designing solutions. He is passionate about many technical topics including Machine Learning, Analysis (above image), Characterization and Modeling, which led him to architect Guna – an advanced characterization software for modern nodes. He currently works for Paripath Inc.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction and need for characterization
Chapter 2: GUNA characterization software
Lecture 1: Introduction to GUNA characterization software
Lecture 2: GUNA steps and modes of characterization
Lecture 3: GUNA workspace definition and demo
Lecture 4: Introduction to CDF, CDF Vectors and CDF example
Lecture 5: GUNA syntax check commands and CDF demo
Lecture 6: LIVE QnA with participants
Chapter 3: Timing model
Lecture 1: NLDM driver arcs and driver model
Lecture 2: NLDM receiver model and demo to generate NLDM driver & receiver model
Lecture 3: NLDM tristate, state dependent delays and sequential delays
Lecture 4: Labs on tri-state & SDD and issues with NLDM
Lecture 5: CCS, ECSM driver-receiver model desscription and labs
Lecture 6: CCS timing : STA delay calculation and review flop timing model
Chapter 4: Power and noise model
Lecture 1: VLSI power components and power model usage
Lecture 2: Components of NLPM and labs on NLPM generation using GUNA
Lecture 3: CCS power cmponents and GUNA options to generate CCS power model
Lecture 4: Generate CCSP model using GUNA and voltage drop analysis
Lecture 5: NLDM, CCSN and ECSM noise model
Lecture 6: Labs on noise modelling using GUNA
Chapter 5: Chip variation
Lecture 1: Introduction to variation, process corners, OCV and OCV model inaccuracies
Lecture 2: Advanced OCV (AOCV) or Stage-Based OCV (SBOCV) concepts and measurement
Lecture 3: LIVE QnA with participants on AOCV
Lecture 4: AOCV challenges and rise of LVF
Lecture 5: LIVE QnA with participants on AOCV and LVF comparison
Chapter 6: Conclusion
Lecture 1: Conclusion and acknowledgements
Instructors
-
Kunal Ghosh
Digital and Sign-off expert at VLSI System Design(VSD) -
Rohit Sharma
Author, Developer and Entrepreneur.
Rating Distribution
- 1 stars: 8 votes
- 2 stars: 5 votes
- 3 stars: 21 votes
- 4 stars: 17 votes
- 5 stars: 23 votes
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