exploring the rogue wave phenomenon in 3d power distribution networks

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Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks Xiang Hu 1 , Peng Du 2 , Chung-Kuan Cheng 2 1 ECE Dept., 2 CSE Dept. University of California, San Diego 10/25/2010

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Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks. Xiang Hu 1 , Peng Du 2 , Chung-Kuan Cheng 2 1 ECE Dept., 2 CSE Dept. University of California, San Diego 10/25/2010. Agenda. Introduction System-level 3D PDN analysis Chip-level 3D PDN analysis - PowerPoint PPT Presentation

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Page 1: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Exploring the Rogue Wave Phenomenon in 3D PowerDistribution Networks

Xiang Hu1, Peng Du2, Chung-Kuan Cheng2

1ECE Dept., 2CSE Dept.

University of California, San Diego

10/25/2010

Page 2: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 2

Agenda

Introduction

System-level 3D PDN analysis

Chip-level 3D PDN analysis

– Detailed 3D power grid model

– Frequency-domain analysis

– Time-domain analysis

Conclusions

Page 3: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 3

Introduction

Power delivery issues in 3D ICs

– Total currents flowing through off-chip components increase with the number of stacked tiers

– 3D-related components (i.e., TSV, µbump) add more impedance to on-chip power grids

Previous power grid models for on-chip noise analysis are relatively simple

– Missed detailed metal layer information

– Not suitable for 3D PDN analysis

Detailed 3D PDN analysis has not been done

– Frequency domain: resonance behavior

– Time domain: worst-case noise

Page 4: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 4

System-Level 3D PDN model

Power delivery system including VRM, board and package

Multiple input current sources

Zext

Page 5: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 5

Impedance Profiles in System-Level 3D PDN Model

Common resonant peaks at VRM-board, board-package, and package-T1 interfaces.

No high-frequency peak for Z11.

High-frequency peak for Z22 due to T1-T2 resonance.

Small high-frequency bumps for Z12 and Z21 due to T1-T2 resonance.

105

1010

0

5

10

15

Frequency (Hz)

Impe

danc

e (m

)

Z11

Z22

Z12

or Z21

VRM-brdbrd-pkg

pkg-T1

T1-T2

Page 6: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 6

Chip-Level 3D Power Grid Model

Power grid

– structure: M1, M3, M7, RDL

– Extracted in Q3D

TSV: RLC model

Package: distributed RLC model

Page 7: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 7

2D PDN 3D PDN

Package inductance (Lp) 52.5pH 52.5pH

Total on-chip cap (Cc) 7.92nF 7.92nF

246.9MHz 246.9MHz

Current Source @ T1, Output Voltage @ T1

Measured on-chip impedance on device layer, i.e., M1

2D PDN

– Large impedance at low frequencies due to high resistive M1

– Only one resonance peak at package-die interface

3D PDN

– Small impedance at low frequencies due to low resistive RDL on T2

– Mid-frequency resonance peak at package-die interface

– Large high-frequency resonance peak around T2T location

105

106

107

108

109

1010

1011

0

0.5

1

1.5

2

2.5

3

Frequency (Hz)

Vol

tage

(V

)

3D case (Two tiers)2D case (Tier 1 only)

2D PDN vs. 3D PDN

241.73MHz

243.59MHz

_ 1/ (2 )res pc p cf L C

Estimated package-die resonant frequency

Page 8: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 8

Current Source @ T1, Output Voltage @ T1

High-frequency resonance peak

– Caused by the inductance of T2T connection and the local decoupling capacitance around it.

– Highly-localized: beyond 40um the peak disappears (bypassed by other decaps around the current source)

23.62GHz

Single TSV inductance: 34pHLocal capacitance on M1: 1.159pFEstimated resonant frequency: 25.4GHz

Page 9: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 9

Current Source @ T1, Output Voltage @ T2

Small low-frequency impedance

Global mid-frequency resonance peak at package-T1 interface

Global high-frequency resonance peak at T1-T2 interface

105

106

107

108

109

1010

1011

0

0.1

0.2

0.3

0.4

0.5

0.6

Frequency (Hz)

Imp

ed

an

ce (

) Same (x,y) coordinatesas the T1 current source

At the corners of T2((250m, 250m) to

the T1 current sourcein (x,y) directions)

Effective TSV inductance: 2.83pHTotal capacitance on T2: 25.96pFEstimated resonant frequency: 18.56GHzT1-T2: 20.26GHz

pkg-T1: 245.5MHz

Page 10: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 10

Current Source @ T2, Output Voltage @ T2

Large impedance at current source location due to high-resistive M1

Global mid-frequency resonance peak at package-T1 interface

– Caused by the anti-resonance between package inductance and total on-chip capacitance

Global high-frequency resonance peak at T1-T2 interface

– Caused by the anti-resonance between T2T inductance and T2 total capacitance

105

106

107

108

109

1010

1011

0

1

2

3

4

5

6

7

8

Frequency (Hz)

Vo

ltag

e (

V) Further awayfrom the

current source

16.8m to the current sourcein x direction

8.4m to the current sourcein x direction

Current source location

Page 11: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 11

Current Source @ T2, Output Voltage @ T1

Large impedance at T2T locations

– T2 current concentrates on the limited number of T2T locations

Local high-frequency resonance peak at T2T locations

Global mid-frequency resonance peak at package-T1 interface

105

106

107

108

109

1010

1011

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0.5

Frequency (Hz)

Imp

ed

an

ce (

)

T2T locations on T1

Other locations on T1

(8.4m,47.9m) tothe current sourcein (x,y) directions

(176.4m,153.7m) to the current sourcein (x,y) directions

Page 12: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 12

On-Chip Worst-Case PDN Noise Prediction Algorithm

Motivation

– Local current on M1 is tiny consider the distributed current effect

– Obtain worst-case noise at multiple on-chip locations

Single-input worst-case PDN noise prediction algorithm [1]

– Basic idea: dynamic programming

Multi-input worst-case PDN noise prediction algorithm

– Extension of the single-input algorithm

– Based on noise superimposition of the linear PDN model

[1] P. Du, X. Hu, S. H. Weng, A. Shayan, X. Chen, A. E. Engin, and C.K Cheng. “Worst-Case Noise Prediction With Non-Zero Current Transition Times for Early Power Distribution System Verification,” In IEEE International Symposium on Quality Electronic Design, 2010

Page 13: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 13

On-Chip Worst-Case PDN Noise Flow

Current source locations

Simulate impulse responses

All current sources traversed?

Select an output node

Calculate the worst-case noise

More output nodes?

Current constraints

PDN netlist

Pick one current source

Worst-case noise map

Page 14: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 14

Worst-Case Noise Experiment Setting

Two-tier 3D PDN

9 uniformly distributed current sources on each tier

Same (x,y) current source locations on two tiers

First and last columns of the current sources locate at the same (x,y) coordinates as T2T connections

Current constraints

– Maximum amplitude: 0.1mA

– Minimum transition time: 10ps

Page 15: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 15

Worst-Case Noise Map on T1

Currents from T2 cause large noise around T2T interface.

Currents at T2T locations on T1 cause local high-frequency resonance peaks, making the noise worse.

0100

200300

400500

600

0

100

200

300

400

500

6000.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Y (m)

X (m)

Wo

rst-

case

no

ise

(m

V)

peak value

Page 16: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 16

Worst-Case Noise Map on T2

Uniform worst-case noise peak at nine current source locations

T2T distribution has no impact on the worst-case noise peak distributions on T2

Worst-case noise on T2 is 20 times of that on T1

peak value

0100

200300

400500

600

0

100

200

300

400

500

6009

10

11

12

13

14

15

16

17

18

Y (m)

X (m)

Wo

rst-

case

no

ise

(m

V)

Page 17: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 17

Rogue Waves: Time-Domain Worst-Case Noise Waveforms

Three output locations:

– Blue: T2T location on T1

– Red: Away from T2T locations on T1

– Black: T2

Worst-case noise response: low-frequency oscillations followed by high-frequency oscillations Rogue Wave

Worst-case noise response is dependent on the resonance behaviors of the output nodes and the spatial distribution of current sources

– Output nodes on T2 (black): high-frequency oscillation followed by low-frequency oscillation due to global high-frequency resonance

– Output nodes on T1

• T2T location (blue): high-frequency oscillation followed by low-frequency oscillation due to local high-frequency resonance

• Away from T2T (red): no high-frequency oscillation

Page 18: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 18

Worst-Case Noise Flow Run Time

Node # Impulse response simulation time

Worst-case noise calculation time

Total run time

75815 1.55 hr/current 115 sec/node 1.55 hr*N+115 sec*M

N: number of current sourcesM: number of output nodes

Page 19: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 19

Conclusions

System-level analysis reveals the global resonance effects for 3D PDNs

Proposed on-chip 3D power grid model with detailed metal layer

Local resonance phenomenon due to T2T connection inductance and local capacitance is discovered with the detailed 3D power grid model

Worst-case noise calculation algorithm is extended to multiple input multiple output system

Worst-case noise map shows the spatial distribution of the worst-case noise in 3D PDNs

The “rogue wave” of worst-case noise response reflects the resonance behaviors at different locations of the 3D PDN

Page 20: Exploring the Rogue Wave Phenomenon in 3D Power Distribution Networks

Page 20

Thank You!Q & A