VIP1: a 3D Integrated Circuit for Pixel Applications in High Energy Physics PowerPoint PPT Presentation

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Title: VIP1: a 3D Integrated Circuit for Pixel Applications in High Energy Physics


1
VIP1 a 3D Integrated Circuit for Pixel
Applications in High Energy Physics
  • Jim Hoff, Grzegorz Deptuch, Tom Zimmerman, Ray
    Yarema - Fermilab
  • jimhoff_at_fnal.gov

2
Vertical Integration (a.k.a. 3D Integration)
What is it?
  • Several active semiconductor layers
    independently designed
  • Not necessarily the same function
  • Not necessarily the same technology
  • Thinned
  • Bonded together
  • Interconnected to one another with deep vias

3
Vertical Integration (a.k.a. 3D Integration)
What is it?
4
Vertical Integration (a.k.a. 3D Integration)
What is it?
J. Joly, LETI
  • Industrys Interest in Vertical Integration
  • Moores Law
  • Reduce R, L, C for higher speed
  • Reduce chip I/O pads
  • Provide increased functionality
  • Reduce interconnect power and crosstalk
  • HEPs Interest in Vertical Integration
  • Reduced Mass in the Beamline
  • Selectable detector and readout technologies
  • Increased functionality per unit area at a given
    feature size

5
VIP1 What is it?
The VIP1 is a 64x64 demonstrator version of a 1k
x 1k readout chip for ILC pixel vertex
applications. It is designed to conform to ILC
standards as they are understood today.
  • Features
  • 20 mm x 20 mm pixel size
  • Binary (hit/no hit) information with analog hit
    information to improve resolution
  • Double Correlated Sampling
  • Both analog and digital time stamping, each
    individually capable of resolving 32 time steps
    per bunch train.
  • Readout between bunch trains
  • Data sparsification with pipelined token passing
  • A single point-to-point serial output line
  • Design for megapixel array, but layout a 64x64
    array
  • Low power (assuming power pulsing is used)
  • A Test input per pixel

6
VIP1 Overall System Architecture
7
VIP1 Pixel Cell Block Diagram
8
Conversion to a 3D architecture
  • Inter-tier vias are substantial
  • Logical versus physical division of function
  • Layout on one tier impacts layout on other tiers.

9
The Pixel Cell on Tier 1
  • SR-ff for hit storage for the duration of the
    pulse train.
  • OR to allow universal read
  • Conservative, static, edge-triggered DFF in data
    sparsification.
  • Dynamic edge-triggered DFF for test input pulses
  • 65 transistors

10
The Pixel Cell on Tier 2
  • 5 bit digital timestamp latched in the pixel
    from a Gray Code counter on the periphery of Tier
    2
  • Analog time stamp resolution to be determined,
    but expecting 5 bits
  • Time stamps can be used in alone or in series to
    create a 10 bit time stamp.
  • 72 transistors

11
The Pixel Cell on Tier 3
  • Integrator
  • Double correlated sample plus readout
  • Discriminator
  • Chip scale programmable threshold input
  • Capacitive test input (CTI)
  • 38 transistors
  • 2 vias

12
3D Stacking (of a single pixel) with Vias (step
1)
Tier 1 pixel circuit
Buried oxide (BOX), 400 nm thick
2000 ohm-cm p-type substrate
13
3D Stacking (of a single pixel) with Vias (step
2)
Bond tier 2 to tier 1
Tier 2
Tier 1
14
3D Stacking (of a single pixel) with Vias (step
3)
Form 3 vias, 1.5 x 7.3 µm, through Tier 2 to Tier
1
15
3D Stacking (of a single pixel) with Vias (step
4)
Bond tier 3 to tier 2
Tier 3
Tier 2
16
3D Stacking (of a single pixel) with Vias (step
5)
Form 2 vias, 1.5 x 7.3 µm, through tier 3 to tier
2
17
A 64x64 Array with Perimeter Logic
  • Perimeter circuitry for the ILC Demonstrator chip
    occupies a small amount of space.
  • Area for the perimeter logic could be reduced in
    future designs.

Blow up of corner of array
64 x 64 array with perimeter logic
18
Status
  • The design was submitted in October of last year.
    It was due in August of this year.
  • We expect delivery any day and hope to present
    experimental results in the conference record or
    in a TNS paper.
  • This design was fabricated as part of a
    multi-project wafer run supported as a DARPA RD
    effort. This was the second such run.
  • A third MPW run is planned for next year.

19
Background Slides
20
Output
  • Assume 1000 x 1000 array (1000 pixels/row)
  • Token skip frequency 0.2ns
  • Time to scan 1 row .200 ns x 1000 200 ns
    (simulated)
  • Time to readout cell 30 bits x 20 ns/bit 600
    ns
  • Max hits/chip 250 hits/mm2 x 225 mm2 56250
    hits/chip.
  • For 50 MHz readout clock and 30 bits/hit, readout
    time 57250 hits x 30 bits/hit x 20 ns/bit 34
    msec
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