asada-san, r. brederlow, j.a. carballo, kashiwagi-san 2004 work in progress – do not publish 1...

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Asada-san, R. Brederlow, J.A. Carballo, Kashiwagi-san 2004 Work in Progress – Do Not Publish 1 Design TWG 2004-2005 Goals 1. Development of design color tables - Design technology requirements - Design technology solutions 2. Revision of tables and content - Addition of DFM (“Technology Access”) section - Cost/ROI model improvement - e-RAM content consistency and model accuracy - New DSP/MCU content - Further SIP content and alignment with SoC - Reorganize AMS + modeling/simulation 3. Application / product alignment - Alignment with product (NEMI) roadmap (with other TWGs)

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Page 1: Asada-san, R. Brederlow, J.A. Carballo, Kashiwagi-san 2004 Work in Progress – Do Not Publish 1 Design TWG 2004-2005 Goals 1. Development of design color

Asada-san, R. Brederlow, J.A. Carballo, Kashiwagi-san

2004 Work in Progress – Do Not Publish 1

Design TWG 2004-2005 Goals

1. Development of design color tables- Design technology requirements- Design technology solutions

2. Revision of tables and content- Addition of DFM (“Technology Access”) section

- Cost/ROI model improvement - e-RAM content consistency and model accuracy- New DSP/MCU content

- Further SIP content and alignment with SoC - Reorganize AMS + modeling/simulation

3. Application / product alignment - Alignment with product (NEMI) roadmap (with other

TWGs)

Page 2: Asada-san, R. Brederlow, J.A. Carballo, Kashiwagi-san 2004 Work in Progress – Do Not Publish 1 Design TWG 2004-2005 Goals 1. Development of design color

Asada-san, R. Brederlow, J.A. Carballo, Kashiwagi-san

2004 Work in Progress – Do Not Publish 2

Design TWG 2004-2005 Strategy

Goal 2004 Work 2005 Work Chapter

1. Develop color tables

-Extended general requirements

-Preliminary “general” solutions

Development of detailed color tables

-requirement (quantit.)

-solutions (qualit.)

Design

2. Revise tables and content

- Revise e-RAM model

- Better SIP content

-SoC cost model

-Preliminary DFM section

-Preliminary DSP/MCU

-Embed AMS & modeling

-Complete DFM ("Technology Access“) section (DFM, CD control, libraries,…)

-Total cost/ROI model

- Complete DSP/MCU

Design

3. Align with applications

-Align existing requirements to PDA model

-Identify mapping products-ITRS drivers

-Complete set of ITRS drivers on an SoC application basis

System drivers

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Asada-san, R. Brederlow, J.A. Carballo, Kashiwagi-san

2004 Work in Progress – Do Not Publish 3

Back Up Slides

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Asada-san, R. Brederlow, J.A. Carballo, Kashiwagi-san

2004 Work in Progress – Do Not Publish 4

1. Design Color Table Development

Current requirements / solutions tables by

– General

– Design process

– System level

– Logic, circuit, and physical design

– Verification

– Test Size ~ 50 requirements, 50 solutions

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Asada-san, R. Brederlow, J.A. Carballo, Kashiwagi-san

2004 Work in Progress – Do Not Publish 5

1. Design Color Table Development

Feedback summary (Japan)– Agree on definitions of productivity and power– Consistency / links with ORTC– Decomposition of requirements– Number of requirements and target audience– Alternative break-downs (by design objectives, by fabrics)

Feedback summary (Europe)– Clearly define each parameter

• e.g. (1 sentence in e-RAM section

– Choose driver (fabrics, app., objective)• Include that as comment to table rows or make extra row

– Cost/area as requirement

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1. Design Requirements Color Tables

Requirement Comments SRC Leader

Complexity (system) Xtors/chip Combine from ORTC/app ORTC.. Smith

SoC Productivity - design cycle (mo) Improvement

%, By application

Include re-spins?

G.Smith

Carballo

%SW in overall productivity - design cycle (mo) Improvement

Include SW

% by application

G.Smith

Carballo

Productivity - Logic Mtx per designer-year improvement

% Smith

Carballo

Power efficiency - dynamic power reduction beyond scaling

Definition, Precond, assumption needed PIDS Table value ÷ Target value

PIDS+ Brederlow + Jap

Power efficiency - standby power reduction beyond scaling (X)

PIDS+ Brederlow + Jap

Area density – increase beyond scaling (X)

PIDS+ Brederlow

Manufacturing interface - %cov. Put in “Test” table Kahng

Design cost (improvement, norm) Smith

General requirements

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2004 Work in Progress – Do Not Publish 7

1. Design Requirements Color Tables

Requirement Comments Req SRC Leader

# of verifiable states Growing Productivity

% states covered (non-f) Growing? Productivity

# of diverse fabrics modeled simultaneusly (eDRAM, etc.)

Yield/Cost

Productivity

# of factors to optimize at once

Area, Speed, Power, Test t,Y

Productivity

# of tools under single API Eg. Sim(A+D)+FV

Eg. P&R+STA

Productivity

Manageable power density Clarify Power

Analyzable noise frequency Clarify ?

% cross-chip variability Yield/cost

% manufacturability improvement

Yield/cost

Design process requirements

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1. Design Requirements Color Tables

Requirement Comments Info source Leader

Analog scalability (versus digital?)

Clarify

% design block reuse

# of technologies implemented (eDRAM, eFPGA, SiGe, optical, MEMS)

Clarify

System-level design requirements

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1. Design Requirements Color Tables

Requirement Comments Info source Leader

FOM for incremental analysis Define i. analysis

FOM for interconnect planning Define i.planning

% asynchronous global signaling Clarify %

“Tolerable” Defect density

% parameter uncertainty Clarify matching/%

AC/DC power reduction > scaling Repeated before

MTTF contribution (reliability) Define contribution

# simult. analysis objectives Area, Power, etc.

# of circuit families supported Important?

% analog content synthesized

% design on predictable platforms

% adaptive/self-repairing circuits

Logic / circuit / physical design requirements

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1. Design Requirements Color Tables

Requirement Comments Info source Leader

Verifiable design size (gates)

% logic formally verified

% coverage for largest design

% effort in SW verification

% reuse of verification code

% acceptable cost increase

% verification time variability

% concurrency

Average granularity of block

% design formally verified

% analog formally verified

# of technologies simult. verified (MEMS, EO or EB devices, etc.)

Verification requirements

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1. Design Requirements Color Tables

Requirement Comments Info source Leader

Max. at-speed test frequency

Max. serial I/Os test frequency

% chip self-tested

% logic with BIST

% AMS with BIST

% yield improvement through test

% block test reused in SoC

# technologies tested on same chip (MEMS, EO, etc.)

% defects detected by burn-in test

P, S—DFT and fault tolerant design for logic soft errors

% chip self-reconfigurable

Test requirements

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1. Design Solutions Color Tables

Requirement Comments Info source Leader

High-freq. full chip noise analysis

Concurrent multi-factor optimization

Automated package analysis

Integrated A/D flows

Parallel processing-aware flows

Variability across entire flow

Automated mask correction

Automated SW+HW synthesis

Design process solutions

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1. Design Solutions Color Tables

Requirement Comments Info source Leader

System-level component reuse

Automated interface synthesis

Explicit system-level energy-performance trade-off

Multi-fabric implementation planning (AMS, RF, MEMS…)

SW-SW co-design and verification

On-chip network design methods

System-level design solutions

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1. Design Solutions Color Tables

Requirement Comments Info source Leader

Fully incremental analysis

Synthesis and timing accounting for variability (statistical?)

Circuit/layout enhancement accounting for variability

Macro/chip leakage analysis

Power management analysis & logic insertion SOI SoC tools

Analog synthesis (circuit/layout)

Cost-driven implementation flow

Implementation tools for sensors

Non-static logic implementation

Platform-specific tools

Logic, circuit and physical design solutions

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1. Design Solutions Color Tables

Requirement Comments Info source Leader

Semi-formal verification

Problem difficulty characterization

Bug coverage determination

CAD support for D-f-Verifiability

Hierarchical verification algorits.

Predictable verification time with known cost penalty

MPU-specific verification

Concurrent multi-core processor verification

A/D/multi-fabric automated co-verification

Design verification solutions

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1. Design Solutions Color Tables

Requirement Comments Info source Leader

DFT, test, measurement…for I/O

DFT for low-cost ATE

Power management during test

DFT for Signal integrity

DFT, BIST for core-based SOC

e-memory B-I-S-diagnosis+repair

AMS DFT/BIST

SOC/SIP test with MEMS/EO

On-chip multi-GHz RF circuit test

Design for burn-in defect screens

DFT for logic soft errors

System-level on-line test

Timing-related noise fault models

Design test solutions

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2. Design SIP content, SoC alignment

SIP – alignment and data issues

SoC– How to align with SIP, migration

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3. Design "Technology Access" Section

Content– DFM

– Libraries

– Cost

– CD variability survey?

Possible leads– Andrew Kahng (driver)

– J. Mainard & S. Nassif (IBM) - unconfirmed

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3. Design Possible Section Structure

Design technology

Scope “Grand challenges” DT challenges

Design costDesign cost Productivity

Power

Manufacturing int.

Interference

Error tolerance

Design process

System-level design

Implementation

Verification

Design Test

Technology access

Cross-cutting

Cost?

Key

New position/section

Needed?

Modeling/sim?

Libraries/modelsDFMCost

Simple “enumeration” of challenges

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4. Design Embedding of Content

AMS

– Elimination of separate AMS section– Incremental immersion of AMS content in

document– Possible lead Peter

Modeling/simulation– Embed lone paragraph withing rest of document

– Add to list of cross-cutting challenges

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5. Design Cost/ROI model

Agreement on definition of cost Additions of non-cost metrics

– What metrics ROI?

– How to get data

– Possible leaders Smith, Carballo

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6. System Drivers DSP/MCU content

From “F” to logic-sensible length scale (e.g., contacted M1). – Will impact SRAM A-factor model and logic density model

SRAM model– Recalibrate to the last few years of data (Dennis, Andrew)

Add more “design innovation”– Would increase chip white-space unless more “overhead” or – increase growth rate of SRAM and logic transistor counts look at spreadsheet

Key questions– Is multi-core model (2X SRAM+logic per node) still OK? – Calibration data (e.g. 140mm2, 310mm2 still correct?) – Date of deployment and model implications of eDRAM– Redoing the MPU model = “server-desktop” vs. “mobile”

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7. System Drivers e-RAM model

e-memory dynamic power roadmap

– 2010 discontinuity– Review dynamic power calculation model (all memories)

e-memory static power roadmap

– System Drivers value <> PIDS table+model value– Review leakage power calculation model– Impact of Vt variations?

FRAM

– Widely used embedded, already integrated in SoC– Derive FRAM roadmap (like SRAM, FLASH, e-DRAM)

MRAM? Flash

– Andrew digging info on NOR-Flash

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7. System Drivers e-RAM model

e-memory dynamic power roadmap

– 2010 discontinuity problem was spreadsheet mistake– Review dynamic power calculation model (all memories)

e-memory static power roadmap

– System Drivers value <> PIDS table+model value– Review leakage power calculation model– Impact of Vt variations?

FRAM

– Widely used embedded, already integrated in SoC– Derive FRAM roadmap (like SRAM, FLASH, e-DRAM)

MRAM? Flash

– Andrew digging info on NOR-Flash

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7. System Drivers e-RAM model/content

Consistency Accuracy Content

– DRAM

– SRAM

– Flash

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8. System Drivers Product Alignment (NEMI)

Will improve alignment with other documents – With systems chapter, based on each systems driver– With NEMI emulators, based on each NEMI emulator

Issues– Design organized by challenges and traditional EDA fields– Systems drivers based on “fabric/platform”– NEMI emulators based on “product”, NEMI is US organization

Actions (tentative)– Talk with NEMI about geographical composition– Aggressively improve each section’s alignment with s. drivers– Improve understanding of NEMI-ITRS drivers connection – Possible lead Andrew

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Drivers

SoC/SIP

HPMT?LC-LP

MPU DSPAMS eMemory

Gaming PDANP Wireless

Architecture

Applications (NEMI)

Fabrics (ITRS)“MEMS”

“BioChip”

“Futures”

8. System Drivers Product Alignment (NEMI)

“Current”

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8. System Drivers Product Alignment (NEMI?)

Drivers

MPU DSPAMS eMemory

Gaming PDANP Wireless

Architectures

Applications (NEMI?)

Fabrics (ITRS)“MEMS”

“BioChip”

“Futures”“Current”

High performance Low power

A1A2A3A4

α1 β1 γ1 δ1

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8. System Drivers Product Alignment (NEMI?)

Year

Parameter

A1

A2A3

A4

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8. System Drivers Product Alignment (NEMI)

Example product – System Driver’s Reference Design

– Personal digital assistant (PDA)

Composition– CPU

– DSP

– Peripheral I/O

– Memory

0.18um / 400MHz / 470mW (typical)

CPU

I-cache32KB

D-cache32KB

I2C

FICP

USB

MMC

UART AC97

I2S

OST

GPIO

SSP

PWM RTC

DMA controller

LCDCnt.

MEMCnt.

PWR CPG

SDRAM64MB

Flash32MB

LCDPeripheral

4 – 48MHz

Data Transfer100MHz

Processor

Max 400MHz6.5MTrs.

USB

MMC

KEY

Sound

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8. System Drivers Product Alignment (NEMI)

SoC challenges MPU challenges AMS challenges

Productivity improvement

Power management

System-level integration

Test methodology

Design/verification productivity

Power management/delivery

Input/output bandwidth

Multi-core organization

Parametric yield

Skills and productivity

Decreasing supply

Increasing analog content

Higher speed

Crosstalk

Parametric variations

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Interaction With Other TWGs (PIDS, PIDS/Litho/FEP, Test, Assembly/Packaging,

Yield)TWG Needed info TWG Contact

1. Development of color tables What %perf/power growth is design? 0

Are color tables OK?

“Tolerable” defect density

PIDS

Test

Yield

2. Further SIP content and alignment with SoC

Provide # & speed I/Os, max. power per application?

Assembly/ packaging Test

3. Addition of "Technology Access"

From PIDS Dev. param. variability generate high-level DTWG data (also (1.))

“Tolerable” defect density. Design rules.

PIDS/ Litho/ FEP

Yield

4. Embedding of AMS and modeling/simulation

Difficult to do Modeling/ simulation

Peter + Ralf

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Interaction With Other TWGs (PIDS, PIDS/Litho/FEP, Test, Assembly/Packaging,

Yield)TWG Needed info TWG Collab/

contact

5. Cost/ROI model improvement

System Drivers

What part is design V. manuf V. test V. packaging? (PDA)

PIDS+ test + factory i. + Alan

6. Improved DSP/MCU content What part of 70% growth is design? 0 ORTC

PIDS

7. e-RAM content consistency and model accuracy

Vt variation, Igate, Flash data, bits/cell, ECC

Provide #IPs per chip

Read detailed table and say if it’s useful

PIDS

Test

8. Alignment with product roadmap (NEMI?)

Align Systems Drivers to PIDS too

Align by apps/drivers? SoC/SoP migration data

SoC/SoP yield model

PIDS

Assembly/P

Yield

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Back-up Slides

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Discussion on Cost Versus ROI Should we gather ROI trends?

Appendix Material

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Cost Versus ROE/ROI

Investor care about ROE

Assets

Debt

Equity

A = D + ERevenue

Cost/expense

Interest/tax

Net profit

ROE

/. .

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ROI versus Cost

Return On Investment a crucial metric

– Cost is not the only variable!

ROI = - I + ∑ Rt - Ct

(1 + r)tt = 1

n

Investment(upfront cost)

CostRevenue

Required return (risk)

Time (years)

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$-

$10.0

$20.0

$30.0

$40.0

$50.0

2000 2002 2004 2006 2008 2010 2012

year

cost

($M

)

DT Investment versus Overall costs

2X EDA investment could half total design cost…

– …if it achieves 7% more productivity growth

2X EDA investment½ total cost

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ROI Example

SoC

-12000

-10000

-8000

-6000

-4000

-2000

0

2000

4000

6000

8000

1 2 3 4 5 6 7

TimeCum

mul

ativ

e R

OI

Annual return

Cummulative ROI

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Asada-san, R. Brederlow, J.A. Carballo, Kashiwagi-san

2004 Work in Progress – Do Not Publish 40

Cost versus ROI Impact of Time/productivity

TTM increases ROI, as it reduces time parameter

0.0

1.0

2.0

3.0

4.0

5.0

6.0

0% 10% 20% 30% 40% 50%

Productivity improvement

No

rmal

ized

RO

I

1. Higher revenues2. Earlier revenues3. Similar cost!

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Asada-san, R. Brederlow, J.A. Carballo, Kashiwagi-san

2004 Work in Progress – Do Not Publish 41

Cost versus ROI Impact of Uncertainty/Risk

Uncertainty lowers ROI, as it increases perceived risk

0.0

0.2

0.4

0.6

0.8

1.0

1.2

10% 12% 14% 16% 18% 20%

Risk-induced discount rate

No

rmal

ized

RO

I