ID 024C: Auto Code Generation: The Shortest Distance From Idea to Implementation

Christopher Myers

Director of Software Development

12 October 2010

Version: 1.1

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Christopher Myers cmyers@simuquest.com

Director of Software Development Responsible for designing and managing development

of SimuQuest product lines

Lead Developer of QuantiPhi, a line of code generation tools that bring a hardware interface into the Simulink modeling environment.

PREVIOUS EXPERIENCE:

Working in the area of model-based development using MATLAB / Simulink since 2003.

Production automotive and consumer electronics experience at Motorola since 2000.

Designed high-performance network appliances designed to provide unparalleled visibility into network usage while at Arbor Networks, Inc.

MS, BS from the University of Michigan

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Renesas Technology and Solution Portfolio

Microcontrollers& Microprocessors

#1 Market shareworldwide *

Analog andPower Devices#1 Market share

in low-voltageMOSFET**

Solutionsfor

Innovation

Solutionsfor

InnovationASIC, ASSP& Memory

Advanced and proven technologies

* MCU: 31% revenue basis from Gartner "Semiconductor Applications Worldwide Annual Market Share: Database" 25 March 2010

** Power MOSFET: 17.1% on unit basis from Marketing Eye 2009 (17.1% on unit basis).

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Renesas Technology and Solution Portfolio

Microcontrollers& Microprocessors

#1 Market shareworldwide *

Analog andPower Devices#1 Market share

in low-voltageMOSFET**

ASIC, ASSP& Memory

Advanced and proven technologies

* MCU: 31% revenue basis from Gartner "Semiconductor Applications Worldwide Annual Market Share: Database" 25 March 2010

** Power MOSFET: 17.1% on unit basis from Marketing Eye 2009 (17.1% on unit basis).

Solutionsfor

Innovation

Solutionsfor

Innovation

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Microcontroller and Microprocessor Line-up

Superscalar, MMU, Multimedia Up to 1200 DMIPS, 45, 65 & 90nm process Video and audio processing on Linux Server, Industrial & Automotive

Up to 500 DMIPS, 150 & 90nm process 600uA/MHz, 1.5 uA standby Medical, Automotive & Industrial

Legacy Cores Next-generation migration to RX

High Performance CPU, FPU, DSC

Embedded Security

Up to 10 DMIPS, 130nm process350 uA/MHz, 1uA standbyCapacitive touch

Up to 25 DMIPS, 150nm process190 uA/MHz, 0.3uA standbyApplication-specific integration

Up to 25 DMIPS, 180, 90nm process 1mA/MHz, 100uA standby Crypto engine, Hardware security

Up to 165 DMIPS, 90nm process 500uA/MHz, 2.5 uA standby Ethernet, CAN, USB, Motor Control, TFT Display

High Performance CPU, Low Power

Ultra Low PowerGeneral Purpose

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Microcontroller and Microprocessor Line-up

Superscalar, MMU, Multimedia Up to 1200 DMIPS, 45, 65 & 90nm process Video and audio processing on Linux Server, Industrial & Automotive

Up to 500 DMIPS, 150 & 90nm process 600uA/MHz, 1.5 uA standby Medical, Automotive & Industrial

Legacy Cores Next-generation migration to RX

High Performance CPU, FPU, DSC

Embedded Security

Up to 10 DMIPS, 130nm process350 uA/MHz, 1uA standbyCapacitive touch

Up to 25 DMIPS, 150nm process190 uA/MHz, 0.3uA standbyApplication-specific integration

Up to 25 DMIPS, 180, 90nm process 1mA/MHz, 100uA standby Crypto engine, Hardware security

Up to 165 DMIPS, 90nm process 500uA/MHz, 2.5 uA standby Ethernet, CAN, USB, Motor Control, TFT Display

High Performance CPU, Low Power

Ultra Low PowerGeneral Purpose

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Innovation: Innovate Faster

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Model-Based Design

Model-Based Design and Automatic Code Generation is the

future of embedded controls. SimuQuest believes that as

companies across all industries realize the innovation

advantage that it provides, it will play a part in the design of

nearly all embedded systems worldwide.

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Agenda

Introduction to modeling and auto-code

Examples of Simulink / Stateflow

Exploration of design concerns

Fixed-point vs. floating point

Integrating hand code with auto-code

Modeling an entire application: One-Touch code generation

Q&A

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Agenda (in other words)

Make the case for modeling and auto-code

Show you what modeling and auto-code is all about

Show you just how far it can be taken

Answer questions

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Key Takeaways

Models helps define requirements

Models can be auto-coded

You can use that C code flexibly

Auto-coding is powerful

Auto-coding saves you time

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Auto-Code Generation: Why

Software PerspectiveControls Perspective

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Modeling: A Software Perspective

Software PerspectiveControls Perspective

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Typical Project

Kick-Off Delivery

Eff

ort

Time

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Ideal Project

Kick-Off Delivery

Eff

ort

Time

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Dollars and Cents Advantage

SOFTWARE DEFECT COSTS

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Why Typical Approaches Don’t Work!

Req 1.6.5.9.1.2.3 - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent ut orci nulla. Aenean nulla metus, blandit eget blandit vitae, commodo sit amet metus. Mauris lacinia varius dui, quis dictum nisi aliquet vitae. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer nisi nunc, blandit vitae porta vitae, faucibus sit amet neque…

Use Case 1

Use Case n

Or…

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A Model-Based Approach

Understand the system we’ll be interacting with. Model it. Develop executable models of system requirements Integrate early and often Bring pre-tested hardware drivers into the modeling environment Auto-generate code

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Modeling: A Controls Perspective

Software PerspectiveControls Perspective

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Why Auto-Code Generation: R&D

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Modeling: Auto-Coding

Software PerspectiveControls Perspective

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Our Auto-Coding Toolbox

MATLAB

QuantiPhiRTW Embedded Coder

Simulink & Stateflow

Base computing platform

Modeling platform

Auto-code generation Provides MCU configuration and device drivers.

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Building Block: The Feature

Feature

Determine a set point

Condition a user input

Detect a faultDetect a fault

Compute value for an actuator

inputs outputs

triggers

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An Example Feature Model

[In Simulink]

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What About Integrating the Code?

FeatureData Types

Variables

File Naming

Legacy Code

Target

New Concerns!

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What About Integrating the Code?

FeatureData Types

Variables

File Naming

Legacy Code

Target

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C to Simulink Mappings

C Typesunsigned charunsigned charcharunsigned short intshort intunsigned long intlong intfloatdouble

Simulink Typesbooleanuint8int8uint16int16uint32int32singledouble

+ additional fixed-point types available

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Data Types: Floating and Fixed Point

float my_var = 3.57; float my_var = 3.57;

FPU No FPU

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Data Types: Floating and Fixed Point

*IEEE754

1

float*

uint16 0 0 1110000000000

Artificial binary point

ufix16_En4

1 1 0 01010111100011 1 0 0 10

00000001

0

0

Value to represent: 3.57

uint16 3 57

Artificial decimal point(understood that number is 100x higher than real value)

ufix16_Sp01

3 . (0.5 + 0.0625)

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Data Types (+Fixed Point) in Simulink

[In Simulink]

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Auto-Coding for Different-Sized Targets

FeatureData Types

Variables

File Naming

Legacy Code

Target

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More Control Over Generated Code

FeatureData Types

Variables

File Naming

Legacy Code

Target

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More Control Over Generated Code

Simple: Can control variable’s: Placement in RAM / ROM Class (const, volatile, etc) Naming Scope (global vs. local)

Advanced: Can control variable’s: Declaration Definition Code needed to read Code needed to write

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More Control Over Generated Code (Cont’d)

Simple: Can control subsystem’s: Name of the file containing its code Name of the generated function

Advanced: Can control subsystem’s: Placement in memory (near vs. far for example) RAM / ROM variable placement in memory

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Legacy Code

FeatureData Types

Variables

File Naming

Legacy Code

Target

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Legacy Code

Feature BackedBy Legacy Code

inputs outputs

triggers

[Go to Simulink]

Step 1:Simulation Behavior

Step 2:Code Generation Behavior

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Typical Auto-Coding Methodologies

Feature Effort =

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Typical Auto-Coding Methodologies

Feature 1

Feature n

“Application Layer”

Effort =

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Typical Auto-Coding Methodologies

Feature 1

Feature n

HardwareInterface

Effort =

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Convinced?

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The Next Step

Feature 1

Feature n

HardwareInterface

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A

B C

Interfacing With Hardware

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Interfacing With Hardware

A

B C

PA0

RPM

pwm0

QuantiPhi

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Hardware Abstraction Layer

Example of a digital debounce:

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Another Hardware Abstraction Layer Example

Example of analog counts to engineering units:

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A “One Touch” Example Using QuantiPhi

[In Simulink]

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Innovation: Innovate Faster

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Related Lab

[In Simulink]

021L: Model Based Control Design and Auto Code Generation using the R8C

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Questions?

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Thank You!