ANALOG IP WITH INTELLIGENT IP FROM SYSTEM TO SILICON

Similar documents
Will Silicon Proof Stay the Only Way to Verify Analog Circuits?

Gerhard Noessing, Villach

THE DESIGN ENVIRONMENT FOR HETEROGENEOUS SYSTEMS

Synopsys Design Platform

Connecting MATLAB & Simulink with your SystemVerilog Workflow for Functional Verification

2 nd ESA IP-Cores Day

Advanced Verification Topics. Bishnupriya Bhattacharya John Decker Gary Hall Nick Heaton Yaron Kashai Neyaz Khan Zeev Kirshenbaum Efrat Shneydor

SYSTEMC AMS ARCHITECTURE EXPLORATION FOR MIXED SIGNAL SYSTEMS

FLAME, a new readout ASIC for the LumiCal detector

Design and Verify Embedded Signal Processing Systems Using MATLAB and Simulink

Overview. CSE372 Digital Systems Organization and Design Lab. Hardware CAD. Two Types of Chips

AMS DESIGN METHODOLOGY

Design and Verify Embedded Signal Processing Systems Using MATLAB and Simulink

Design of High Dynamic Range DAC. Outline. Choice of the DAC architecture. Design and test results of a 12 bit DAC. (MEMS)

A new Computer Vision Processor Chip Design for automotive ADAS CNN applications in 22nm FDSOI SOI Symposium Santa Clara, Apr.

EEM870 Embedded System and Experiment Lecture 4: SoC Design Flow and Tools

Making the Most of your MATLAB Models to Improve Verification

Designing for Low Power with Programmable System Solutions Dr. Yankin Tanurhan, Vice President, System Solutions and Advanced Applications

Modeling and Verifying Mixed-Signal Designs with MATLAB and Simulink

High Performance Mixed-Signal Solutions from Aeroflex

Mixed-signal Modeling Using Simulink based-c

RTL2GDS Low Power Convergence for Chip-Package-System Designs. Aveek Sarkar VP, Technology Evangelism, ANSYS Inc.

Contemporary Design. Traditional Hardware Design. Traditional Hardware Design. HDL Based Hardware Design User Inputs. Requirements.

Virtuoso Custom Design Platform GXL. Open Database. PDKs. Constraint Management. Customer IP

Warren Anderson Ravi Ram AMD Vijay Akkaraju Synopsys

VCS AMS. Mixed-Signal Verification Solution. Overview. testing with transistor-level accuracy. Introduction. Performance. Multicore Technology

Short Course On Phase-Locked Loops and Their Applications Day 3, PM Lecture. Behavioral Simulation Exercises

Mixed Signal Verification of an FPGA-Embedded DDR3 SDRAM Memory Controller using ADMS

University Program Advance Material

Addressable Test Chip Technology for IC Design and Manufacturing. Dr. David Ouyang CEO, Semitronix Corporation Professor, Zhejiang University 2014/03

Will Everything Start To Look Like An SoC?

New technological opportunities coming along with SystemC/SystemC AMS for AMS IP Handling and Simulation

SPECIAL TOPICS IN COMPUTER ARCHITECTURE AND VLSI DESIGN: Prof. Youngcheol Chae Office: Room B712, Office Hours: Fri.

101-1 Under-Graduate Project Digital IC Design Flow

ECE 111 ECE 111. Advanced Digital Design. Advanced Digital Design Winter, Sujit Dey. Sujit Dey. ECE Department UC San Diego

Xilinx SSI Technology Concept to Silicon Development Overview

Playback function and equalizer on SDR14

THE DESIGNER'S GUIDE TO VERILOG-AMS First Edition June 2004

Digitization of non-volatility Jean-Pascal BOST, CEO

System Level Design with IBM PowerPC Models

A Graduate Embedded System Education Program

A VARIETY OF ICS ARE POSSIBLE DESIGNING FPGAS & ASICS. APPLICATIONS MAY USE STANDARD ICs or FPGAs/ASICs FAB FOUNDRIES COST BILLIONS

System on Chip (SoC) Design

A New Methodology for AMS SoC Design that Enables AMS Design Reuse and Achieves Full-Custom Performance

Mentor Graphics Solutions Enable Fast, Efficient Designs for Altera s FPGAs. Fall 2004

Analog Circuit Simulator Recent Benchmarks) Silvaco Korea November 2004

Supporting Advanced-Node FinFET SoCs with 16Gbps Multi-Protocol SerDes PHY IP

Graph-Based Verification in a UVM Environment

ELCT 501: Digital System Design

Design and Verification of FPGA and ASIC Applications Graham Reith MathWorks

IMPROVES. Initial Investment is Low Compared to SoC Performance and Cost Benefits

Agenda. How can we improve productivity? C++ Bit-accurate datatypes and modeling Using C++ for hardware design

Analog Verification. Ken Kundert. Copyright 2009, Designerʹs Guide Consulting, Inc. All Rights Reserved

Beyond Soft IP Quality to Predictable Soft IP Reuse TSMC 2013 Open Innovation Platform Presented at Ecosystem Forum, 2013

Soitec ultra-thin SOI substrates enabling FD-SOI technology. July, 2015

EDA - Electronic Design Automation or Electronic Design Assistance?

Design Refinement of Embedded Analog/Mixed-Signal Systems and how to support it*

White Paper. The Case for Developing Custom Analog. Custom analog SoCs - real option for more product managers.

BOOST YOUR DESIGNS TO A NEW LEVEL OF ACCURACY AND CONFIDENCE WITH VERILOG-A

Digital System Design Lecture 2: Design. Amir Masoud Gharehbaghi

Mixed-Signal. From ICs to Systems. Mixed-Signal solutions from Aeroflex Colorado Springs. Standard products. Custom ASICs. Mixed-Signal modules

A Deterministic Flow Combining Virtual Platforms, Emulation, and Hardware Prototypes

IOT is IOMSLPT for Verification Engineers

Lab. Course Goals. Topics. What is VLSI design? What is an integrated circuit? VLSI Design Cycle. VLSI Design Automation

Network simulation with. Davide Quaglia

Will Everything Start To Look Like An SoC?

Custom Design Formal Equivalence Checking Based on Symbolic Simulation. Overview. Verification Scope. Create Verilog model. Behavioral Verilog

Enabling An Interconnected Digital World Cadence EDA and IP Update. Jonathan Smith Director, Strategic Alliances June 1, 2017

SmartSpice Verilog-A Interface. Behavioral and Structural Modeling Tool - Device Model Development

Using Model-Based Design to Design Real-Time Video Processing Systems

Monolithic 3D Integration using Standard Fab & Standard Transistors. Zvi Or-Bach CEO MonolithIC 3D Inc.

Accelerating China Semiconductor Industry with GlobalFoundries Smart Manufacture. Fisher Zhu, Director of China Marketing March 15, 2018

Navigating the RTL to System Continuum

OSCI Update. Guido Arnout OSCI Chief Strategy Officer CoWare Chairman & Founder

STM32 F0 Value Line. Entry-level MCUs

Hardware in the Loop Functional Verification Methodology

Modeling embedded systems using SystemC extensions Open SystemC Initiative

DOWNLOAD OR READ : VHDL FOR DIGITAL DESIGN VAHID SOLUTION BING PDF EBOOK EPUB MOBI

Essential TeleMetry (ETM) support ASIC

A mixed signal verification platform to verify I/O designs

Chapter 5: ASICs Vs. PLDs

Transforming a Leading-Edge Microprocessor Wafer Fab into a World Class Silicon Foundry. Dr. Thomas de Paly

AMS Behavioral Modeling

Mixed Signal Verification Transistor to SoC

Introduction to Embedded Systems

For more details, Please contact: #25, Dr. Radhakrishnan Salai, CADD Centre Building, Mylapore, Chennai

Scalable Sensor Data Processor Development Status DSP Day - September 2014

Digital Control for Space Power Management Devices

FlexRIO. FPGAs Bringing Custom Functionality to Instruments. Ravichandran Raghavan Technical Marketing Engineer. ni.com

l Some materials from various sources! Soma 1! l Apply a signal, measure output, compare l 32-bit adder test example:!

Cadence SystemC Design and Verification. NMI FPGA Network Meeting Jan 21, 2015

HOW TO DESIGN A SMART CAR MODEL. From Requirements to Implementation Speaker: Fei Cheng

Bridging Analog Neuromorphic and Digital von Neumann Computing

Challenges to Embedding Computer Vision J. Scott Gardner General Manager and Editor-in-Chief Embedded Vision Alliance (

Extending Digital Verification Techniques for Mixed-Signal SoCs with VCS AMS September 2014

Parag Choudhary Engineering Architect

Physical Verification Challenges and Solution for 45nm and Beyond. Haifang Liao Celesda Design Solutions, Inc.

01 1 Electronic Design Automation (EDA) the correctness, testability, and compliance of a design is checked by software

Own Your Technology Pvt Ltd. Own Your Technology Presents Workshop on MSP430

Trends in the Infrastructure of Computing

Transcription:

ANALOG IP WITH INTELLIGENT IP FROM SYSTEM TO SILICON Torsten Reich, Fraunhofer IIS/EAS IIP

Analog IP with Intelligent IP from system to silicon What is Intelligent IP (on silicon level)? Intelligent IP bottom-up: from silicon to system level Intelligent IP top-down: from system level to silicon 2

Our VISION Intelligent A/MS IP (IIP) Offering innovative A/MS IP which are flexible as software, processors, memory compilers or soft IP configurable by a wide range of different parameters generated in a few seconds to minutes verified on different technologies in a strictly standardized way 3

Intelligent IP A novel approach for analog and mixed-signal IP XFAB 180nm AMS 180nm GF 40nm + testbenches, simulation states + integration model + system behavioral model GF 28nm Silicon available ST 28FDSOI Silicon available GF 22FDX Easy-to-use through Full design data Flexible through Intuitive graphical interface Automatically generated Technology-generic IIP description Seamless design tool integration Can be altered as usual (non-proprietary) Automated configuration 4

Intelligent IP Productive application examples & benefits 80MSps 12-bit DAC in STM 28nm FDSOI 500MSps 10-bit DAC in GF 22FDX Intelligent IP based design migration Initial IIP development in 4 weeks (2x speed up) Layout generation: ~10 min (>1.000x speed up) Regeneration (e.g. for 10 bit resolution): ~3 min Design trade-offs by back bias control Silicon available IIP reuse for tech node shrinking (4x speed up) Layout generation: ~5 min (>1.000x speed up) Regeneration for new target: ~ 5 min Design trade-offs by body bias control Silicon available in Q3/2017 5

Intelligent IP Use case Configurability for new product requirements Configuration of ADC resolution & Pipeline arrangement 12-bit 10-bit 8-bit Configuration of Sampling rate & Power budget 100 MSps 40 MSps 4 MSps System-level configurability in addition to expert mode input parameters Ready for multiple technology requirements 22nm FDSOI, 28nm FDSOI, 28nm, 40nm, 180nm, for different fabs 6

Intelligent IP Flexible to Electrical Requirements Intelligent IP supports electrical requirement flexibility on different levels: Primitive level Design parameter, primitive change, System design automation (ADCs, SMART-Sensor) Functional level Bandwidth, gain, System level INL, ENOB, resolution 7

Analog IP with Intelligent IP from system to silicon What is Intelligent IP (on silicon level)? Intelligent IP bottom-up: from silicon to system level Intelligent IP top-down: from system level to silicon 9

ADC 1 ADC 2 ADC 3 Intelligent IP bottom-up: from silicon to system System design SystemC, Verilog, Matlab IIP Implementation Transistor-level, behavioral Intelligent IPs (executable, configurable, transistor-level verified) Sub block 1 Sub block 2 Sub block 3 10

Analog IP with Intelligent IP from system to silicon What is Intelligent IP (on silicon level)? Intelligent IP bottom-up: from silicon to system level Intelligent IP top-down: from system level to silicon 11

ADC 1 ADC 2 ADC 3 Spec 2 Intelligent IP top-down: from system to silicon (1) System design System C library: (configurable) ADC 1 ADC 2 ADC 3 Design Space x1 2 ADC 1 3 ADC 2 IIP ADC 3 Spec 1 Implementation Sub block 1 Sub block 2 Sub block 3 12

ADC 1 ADC 2 ADC 3 Spec 2 Intelligent IP top-down: from system to silicon (2) System design System C library: (configurable) ADC 1 ADC 2 ADC 3 Design Space 1 x 2 ADC 1 Re-generation & verification 3 ADC 2 IIP ADC 3 Spec 1 Implementation Sub block 1 Sub block 2 Sub block 3 13

ADC 1 ADC 2 Spec 2 Intelligent IP top-down: from system to silicon (3) System design System C library: (configurable) ADC 1 ADC 2 ADC 3 1 2 ADC 1 x Design Space New IP design 3 ADC 2 IIP ADC 3 Spec 1 Implementation Sub block 1 Sub block 2 Sub block 3 ReUse of IIPs 14

Analog IP with Intelligent IP from system to silicon Conclusion Intelligent IP provides automated design of analog IPs & is in productive use Generation of system models in development Goal: provide configurable SystemC model library in Coside for exiting verified A/MS-IPs A/MS-IPs, which can be re-generated and verified quickly A/MS-IPs, which can be quickly designed using Intelligent IP technology Request: discussion on customer problems and expectations 15

INTELLIGENT IP Your Contact IIP Dr. Torsten Reich Fraunhofer IIS/EAS Torsten.Reich@eas.iis.fraunhofer.de +49 351 4640-761 www.intelligent-ip.org 16