SlideShare une entreprise Scribd logo
1  sur  24
Design of 3D-Specific Systems:
  Propsctives and Interface
        Requirements


               Paul Franzon
       North Carolina State University
                Raleigh, NC
              paulf@ncsu.edu
                 919.515.7351
Outline
 Overview of the Vectors in 3D Product Design




                    Value Add

                                    Technology
 Short term – find the low-hanging fruit
 Medium term – Logic on logic, memory on logic
 Long term – Extreme Scaling; Heterogeneous integration;
  Miniaturization
 Overcoming Barriers to Employment

                                                            2
Future 3DIC Product Space



                   3D Mobile      Sensor Node
 Image sensor
                                                Heterogeneous


   Server Memory




                               3D Processor
                                              “Extreme” 3D
Interposer
                                              Integration
                                                    Time

                                                             3
3DIC Technology Set




 Bulk Silicon TSVs and bumps   Face to face microbumps
 (25 - 40 mm pitch)            (1 - 30 mm pitch)



CTSV ~ 30 fF


                                                Tezzaron
                                                        4
3DIC Technology Set
 Interposers: Thin film or 65/90 nm BEOL




 Assembly : Chip to Wafer or Wafer to wafer




                                               5
Value Propositions
Fundamentally, 3DIC permits:
 Shorter wires
      consuming less power, and costing less
      The memory interface is the biggest source of
       large wire bundles
 Heterogeneous integration
      Each layer is different!
      Giving fundamental performance and cost
       advantages, particularly if high interconnectivity
       is advantageous
 Consolidated “super chips”
      Reducing packaging overhead
      Enabling integrated microsystems


                                                            6
The Demand for Memory Bandwidth
Computing




Similar demands in Networking and Graphics
      Ideal: 1 TB / 1 TBps memory stack


                                             7
Memory on Logic
 Conventional                             TSV Enabled

                     Less Overhead


                  Flexible bank access


           x32    Less interface power                 N x 128
           to     3.2 GHz @ >10 pJ/bit                 “wide I/O”
                   1 GHz @ 0.3 pJ/bit
           x128
                                                       Processor
                  Flexible architecture
          or                                   or
                                                    Mobile
 nVidea            Short on-chip wires

                                                              8
Mobile Graphics
  Problem: Want more graphics capacity but total power is
   constrained
  Solution: Trade power in memory interface with power to
   spend on computation

   POP with LPDDR2                           TSV Enabled

 LPDDR2                                 TSV IO



Power                                Power
                                                   GPU
Consumption    GPU                   Consumption

                 532 M triangles/s                 695 M triangles/s


                                                    Won Ha Choi    9
Dark Silicon
 Performance per unit power
      Systems increasingly limited by power consumption, not number
       of transistors
       “Dark Silicon” : Most of the chip will be OFF to meet thermal
       limits




                                                                         10
Energy per Operation
                 DDR3                    4.8 nJ/word
    Optimized DRAM core                  128 pJ/word

             MIPS 64 core                400 pJ/cycle
         11 nm 0.4 V core                200 pJ/op
         45 nm 0.8 V FPU                 38 pJ/Op
              SERDES I/O                 1.9 nJ/Word




                                                        (64 bit words)
                 20 mV I/O               128 pJ/Word
                   LPDDR2                512 pJ/Word
1 cm / high-loss interposer              300 pJ/Word
 0.4 V / low-loss interposer             45 pJ/Word
                On-chip/mm               7 pJ/Word
               TSV I/O (ESD)             7 pJ/Word
 TSV I/O (secondary ESD)                 2 pJ/Word
                       Various Sources                  11
Synthetic Aperture Radar Processor
 Built FFT in Lincoln Labs 3D Process




Metric               Undivided           Divided    %
Bandwidth (GBps)          13.4             128.4 +854.9
Energy Per Write(pJ)     14.48             6.142    -57.6
Energy Per Read (pJ)    68.205            26.718    -60.8
Memory Pins (#)            150              2272 +1414.7
Total Area (mm2)          23.4               26.7 +16.8%
                                            Thor Thorolfsson
                                                               12
3D FFT Floorplan
 All communications is vertical
 Support multiple small memories
  WITHOUT an interconnect penalty
      AND Gives 60% memory power savings




                                            Thor Thorolfsson   13
2DIC vs. 3DIC Implementation


                   vs.




Metric                      2D        3D Change
Total Area (mm2)          31.36     23.4      -25.3%
Total Wire Length (m)    19.107   8.238       -56.9%
Max Speed (Mhz)            63.7     79.4     +24.6%
Power @ 63.7MHz (mW)      340.0   324.9         -4.4%
FFT Logic Energy (µJ)     3.552   3.366         -5.2%
                                  Thor Thorolfsson
                                                     14
Tezzaron 130 nm 3D SAR DSP
 Complete Synthetic
  Aperture Radar processor
       10.3 mW/GFLOPS
       2 layer 3D logic

                                   Logic only     Logic, clocks,
 All Flip-flops on bottom                        flip-flops
  partition
       Removes need for 3D
        clock router


 HMETIS partitioning used
  to drive 3D placement



                   6.6 mm face to face
                                                Thor Thorolfsson   15
Shorter wires  Modest - Good Returns

  Relying on wire-length reduction alone is not enough




   2D Design                      0.13 mm Cell Placement split across
                                  6.6 mm face-to-face bump structure




Results get less compelling with technology scaling, as the microbumps
don’t scale as fast as the underlying process

                                                                   16
Increasing the Return
1. 3D specific architectures



                               High Performance
2. Exploiting Heterogeneity
                               Low Power/Accelerato
                               Specialized RAM
                               General RAM
3. Ultra 3D Scaling




                                               17
3D Miniaturization
Miniature Sensors
        mm3 scale - Human Implantable (with Jan
         Rabaey, UC(B))
        cm3 scale - Food Safety & Agriculture (with
         KP Sandeep, NCSU)


 Problems:
        Power harvesting @ any angle (mm-scale)
        Local power management (cm scale)




Peter Gadfort, Akalu Lentiro, Steve Lipa
                                                       18
Mid-term Barriers to Deployment

 Barrier        Solutions
 Thermal        Early System Codesign of floorplan and
                thermal evaluation
                DRAM thermal isolation
 Test           Specialized test port & test flow
 Codesign       “Pathfinding” in SystemC
                CAD Interchange Standards
 Cost & Yield   Supporting low manufacturing cost through
                design



                                                            19
Long-term Barriers to Deployment

 Barrier             Solutions
 Thermal & Power     3D specific temperature
 Deliver             management
                     New structures and architectures for
                     power delivery
 Test & Yield        Modular, scalable test and repair
 management
 Co-implementation   Support for Modularity and
                     Scalability
 Cost & Yield        Supporting low manufacturing cost
                     through design

                                                            20
3D Specific Interface IP
Proposal:
            Open Source IP for 3D and 2.5D interfaces


An interface specification that supports signaling, timing, power
delivery, and thermal control within a 3D chip-stack, 2.5D
(interposer) structure and SIP solutions
                 3DIC                   Circuits
                 Bus IP



                  CAD                   Constraint
                  Interchange           Resolution
                  Formats

                                   (Proc. 3DIC 2011)                21
Towards 3D Specific IP
 Modular bus                                       In-situ constraint
                     SHARED TSV
                   CHANNEL #1 &#2                    resolution
   MASTER

                                         SLAVE



   MASTER

                                         SLAVE


    MASTER GRANT                    SLAVE GRANT
     TSV #1 &#2                      TSV #1 & #2



                           ARBITER



                                                    CAD “contracts”
 CAD interchange
  standards
                                                                          22
Conclusions
 Three dimensional integration offers potential to
       Deliver memory bandwidth power-effectively;
       Improve system power efficiency through 3D optimized codesign
       Enable new products through aggressive Heterogeneous
        Integration


 Main challenges in 3D integration (from design perspective)
       Effective early codesign to realize these advantages in workable
        solutions
       Managing cost and yield, including test and test escape
       Managing thermal, power and signal integrity while achieving
        performance goals
       Scaling and interface scaling



                                                                           23
Acknowledgements




   Faculty: William Rhett Davis, Michael B. Steer, Eric Rotenberg,
             Professionals: Steven Lipa, Neil DiSpigna,
Students: Hua Hao, Samson Melamed, Peter Gadfort, Akalu Lentiro,
  Shivam Priyadarshi, Christopher Mineo, Julie Oh, Won Ha Choi,
    Zhou Yang, Ambirish Sule, Gary Charles, Thor Thorolfsson,
        Department of Electrical and Computer Engineering
                         NC State University


                                                                     24

Contenu connexe

Tendances

Process Variation and Radiation-Immune Single Ended 6T SRAM Cell
Process Variation and Radiation-Immune Single Ended 6T SRAM CellProcess Variation and Radiation-Immune Single Ended 6T SRAM Cell
Process Variation and Radiation-Immune Single Ended 6T SRAM CellIDES Editor
 
Implementation of digital image watermarking techniques using dwt and dwt svd...
Implementation of digital image watermarking techniques using dwt and dwt svd...Implementation of digital image watermarking techniques using dwt and dwt svd...
Implementation of digital image watermarking techniques using dwt and dwt svd...eSAT Journals
 
GPU Computing In Higher Education And Research
GPU Computing In Higher Education And ResearchGPU Computing In Higher Education And Research
GPU Computing In Higher Education And ResearchDevang Sachdev
 
Design of digital video watermarking scheme using matlab simulink
Design of digital video watermarking scheme using matlab simulinkDesign of digital video watermarking scheme using matlab simulink
Design of digital video watermarking scheme using matlab simulinkeSAT Publishing House
 
Energy Aware performance evaluation of WSNs.
Energy Aware performance evaluation of WSNs.Energy Aware performance evaluation of WSNs.
Energy Aware performance evaluation of WSNs.ikrrish
 
DWT-DCT-SVD Based Semi Blind Image Watermarking Using Middle Frequency Band
DWT-DCT-SVD Based Semi Blind Image Watermarking Using Middle Frequency BandDWT-DCT-SVD Based Semi Blind Image Watermarking Using Middle Frequency Band
DWT-DCT-SVD Based Semi Blind Image Watermarking Using Middle Frequency BandIOSR Journals
 
DRX1 Brochure
DRX1 BrochureDRX1 Brochure
DRX1 Brochurel126073
 
Capacitance Sensing - Layout Guidelines for PSoC CapSense
Capacitance Sensing - Layout Guidelines for PSoC CapSenseCapacitance Sensing - Layout Guidelines for PSoC CapSense
Capacitance Sensing - Layout Guidelines for PSoC CapSenseRuth Moore
 
TRADOC OE Ian Pearson--Future Presentation
TRADOC OE Ian Pearson--Future PresentationTRADOC OE Ian Pearson--Future Presentation
TRADOC OE Ian Pearson--Future PresentationUS Army TRADOC G2
 

Tendances (18)

92 97
92 9792 97
92 97
 
Nishimoto icchp2010
Nishimoto icchp2010 Nishimoto icchp2010
Nishimoto icchp2010
 
Process Variation and Radiation-Immune Single Ended 6T SRAM Cell
Process Variation and Radiation-Immune Single Ended 6T SRAM CellProcess Variation and Radiation-Immune Single Ended 6T SRAM Cell
Process Variation and Radiation-Immune Single Ended 6T SRAM Cell
 
167 169
167 169167 169
167 169
 
Ec36783787
Ec36783787Ec36783787
Ec36783787
 
Implementation of digital image watermarking techniques using dwt and dwt svd...
Implementation of digital image watermarking techniques using dwt and dwt svd...Implementation of digital image watermarking techniques using dwt and dwt svd...
Implementation of digital image watermarking techniques using dwt and dwt svd...
 
GPU Computing In Higher Education And Research
GPU Computing In Higher Education And ResearchGPU Computing In Higher Education And Research
GPU Computing In Higher Education And Research
 
Design of digital video watermarking scheme using matlab simulink
Design of digital video watermarking scheme using matlab simulinkDesign of digital video watermarking scheme using matlab simulink
Design of digital video watermarking scheme using matlab simulink
 
JavaYDL1
JavaYDL1JavaYDL1
JavaYDL1
 
01slide
01slide01slide
01slide
 
New
NewNew
New
 
Energy Aware performance evaluation of WSNs.
Energy Aware performance evaluation of WSNs.Energy Aware performance evaluation of WSNs.
Energy Aware performance evaluation of WSNs.
 
DWT-DCT-SVD Based Semi Blind Image Watermarking Using Middle Frequency Band
DWT-DCT-SVD Based Semi Blind Image Watermarking Using Middle Frequency BandDWT-DCT-SVD Based Semi Blind Image Watermarking Using Middle Frequency Band
DWT-DCT-SVD Based Semi Blind Image Watermarking Using Middle Frequency Band
 
Msm
MsmMsm
Msm
 
DRX1 Brochure
DRX1 BrochureDRX1 Brochure
DRX1 Brochure
 
Ron perrot
Ron perrotRon perrot
Ron perrot
 
Capacitance Sensing - Layout Guidelines for PSoC CapSense
Capacitance Sensing - Layout Guidelines for PSoC CapSenseCapacitance Sensing - Layout Guidelines for PSoC CapSense
Capacitance Sensing - Layout Guidelines for PSoC CapSense
 
TRADOC OE Ian Pearson--Future Presentation
TRADOC OE Ian Pearson--Future PresentationTRADOC OE Ian Pearson--Future Presentation
TRADOC OE Ian Pearson--Future Presentation
 

Similaire à Design of 3D-Specific Systems: Perspectives and Interface Requirements

3 d(1)
3 d(1)3 d(1)
3 d(1)csyam
 
Experiences in Application Specific Supercomputer Design - Reasons, Challenge...
Experiences in Application Specific Supercomputer Design - Reasons, Challenge...Experiences in Application Specific Supercomputer Design - Reasons, Challenge...
Experiences in Application Specific Supercomputer Design - Reasons, Challenge...Heiko Joerg Schick
 
Toshiba 65nm Flyer
Toshiba 65nm FlyerToshiba 65nm Flyer
Toshiba 65nm FlyerSven Hegner
 
Heterogeneous Integration with 3D Packaging
Heterogeneous Integration with 3D PackagingHeterogeneous Integration with 3D Packaging
Heterogeneous Integration with 3D PackagingAMD
 
Tablet in 2012
Tablet in 2012Tablet in 2012
Tablet in 2012JJ Wu
 
Web cast-a day-in_the_life_of_a_hsd_nov_5th_2012_final_al_hamdu_ll_allah__hsd...
Web cast-a day-in_the_life_of_a_hsd_nov_5th_2012_final_al_hamdu_ll_allah__hsd...Web cast-a day-in_the_life_of_a_hsd_nov_5th_2012_final_al_hamdu_ll_allah__hsd...
Web cast-a day-in_the_life_of_a_hsd_nov_5th_2012_final_al_hamdu_ll_allah__hsd...Hany Fahmy
 
Technology overview
Technology overviewTechnology overview
Technology overviewvirtuehm
 
Performance analysis of 3D Finite Difference computational stencils on Seamic...
Performance analysis of 3D Finite Difference computational stencils on Seamic...Performance analysis of 3D Finite Difference computational stencils on Seamic...
Performance analysis of 3D Finite Difference computational stencils on Seamic...Joshua Mora
 
Semiconductor overview
Semiconductor overviewSemiconductor overview
Semiconductor overviewNabil Chouba
 
Seagate – Next Level Storage (Webinar mit Boston Server & Storage, 2018 09-28)
Seagate – Next Level Storage (Webinar mit Boston Server & Storage,  2018 09-28)Seagate – Next Level Storage (Webinar mit Boston Server & Storage,  2018 09-28)
Seagate – Next Level Storage (Webinar mit Boston Server & Storage, 2018 09-28)BOSTON Server & Storage Solutions GmbH
 
End of Moore's Law?
End of Moore's Law? End of Moore's Law?
End of Moore's Law? Jeffrey Funk
 
3D IC TECHNOLOGY
3D IC TECHNOLOGY3D IC TECHNOLOGY
3D IC TECHNOLOGYVinil Patel
 
dokumen.tips_3d-ic-seminar-ppt.ppt
dokumen.tips_3d-ic-seminar-ppt.pptdokumen.tips_3d-ic-seminar-ppt.ppt
dokumen.tips_3d-ic-seminar-ppt.pptYogeshAM4
 
CC-4005, Performance analysis of 3D Finite Difference computational stencils ...
CC-4005, Performance analysis of 3D Finite Difference computational stencils ...CC-4005, Performance analysis of 3D Finite Difference computational stencils ...
CC-4005, Performance analysis of 3D Finite Difference computational stencils ...AMD Developer Central
 

Similaire à Design of 3D-Specific Systems: Perspectives and Interface Requirements (20)

3 d
3 d3 d
3 d
 
3 d(1)
3 d(1)3 d(1)
3 d(1)
 
Experiences in Application Specific Supercomputer Design - Reasons, Challenge...
Experiences in Application Specific Supercomputer Design - Reasons, Challenge...Experiences in Application Specific Supercomputer Design - Reasons, Challenge...
Experiences in Application Specific Supercomputer Design - Reasons, Challenge...
 
Toshiba 65nm Flyer
Toshiba 65nm FlyerToshiba 65nm Flyer
Toshiba 65nm Flyer
 
Heterogeneous Integration with 3D Packaging
Heterogeneous Integration with 3D PackagingHeterogeneous Integration with 3D Packaging
Heterogeneous Integration with 3D Packaging
 
Tablet in 2012
Tablet in 2012Tablet in 2012
Tablet in 2012
 
Sushant
SushantSushant
Sushant
 
Web cast-a day-in_the_life_of_a_hsd_nov_5th_2012_final_al_hamdu_ll_allah__hsd...
Web cast-a day-in_the_life_of_a_hsd_nov_5th_2012_final_al_hamdu_ll_allah__hsd...Web cast-a day-in_the_life_of_a_hsd_nov_5th_2012_final_al_hamdu_ll_allah__hsd...
Web cast-a day-in_the_life_of_a_hsd_nov_5th_2012_final_al_hamdu_ll_allah__hsd...
 
Technology overview
Technology overviewTechnology overview
Technology overview
 
Performance analysis of 3D Finite Difference computational stencils on Seamic...
Performance analysis of 3D Finite Difference computational stencils on Seamic...Performance analysis of 3D Finite Difference computational stencils on Seamic...
Performance analysis of 3D Finite Difference computational stencils on Seamic...
 
Semiconductor overview
Semiconductor overviewSemiconductor overview
Semiconductor overview
 
Welcome to the Datasphere – the next level of storage
Welcome to the Datasphere – the next level of storageWelcome to the Datasphere – the next level of storage
Welcome to the Datasphere – the next level of storage
 
Seagate – Next Level Storage (Webinar mit Boston Server & Storage, 2018 09-28)
Seagate – Next Level Storage (Webinar mit Boston Server & Storage,  2018 09-28)Seagate – Next Level Storage (Webinar mit Boston Server & Storage,  2018 09-28)
Seagate – Next Level Storage (Webinar mit Boston Server & Storage, 2018 09-28)
 
End of Moore's Law?
End of Moore's Law? End of Moore's Law?
End of Moore's Law?
 
What is 3d torus
What is 3d torusWhat is 3d torus
What is 3d torus
 
3D IC TECHNOLOGY
3D IC TECHNOLOGY3D IC TECHNOLOGY
3D IC TECHNOLOGY
 
3 d
3 d3 d
3 d
 
3 d ic
3 d ic3 d ic
3 d ic
 
dokumen.tips_3d-ic-seminar-ppt.ppt
dokumen.tips_3d-ic-seminar-ppt.pptdokumen.tips_3d-ic-seminar-ppt.ppt
dokumen.tips_3d-ic-seminar-ppt.ppt
 
CC-4005, Performance analysis of 3D Finite Difference computational stencils ...
CC-4005, Performance analysis of 3D Finite Difference computational stencils ...CC-4005, Performance analysis of 3D Finite Difference computational stencils ...
CC-4005, Performance analysis of 3D Finite Difference computational stencils ...
 

Plus de chiportal

Prof. Zhihua Wang, Tsinghua University, Beijing, China
Prof. Zhihua Wang, Tsinghua University, Beijing, China Prof. Zhihua Wang, Tsinghua University, Beijing, China
Prof. Zhihua Wang, Tsinghua University, Beijing, China chiportal
 
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...chiportal
 
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...chiportal
 
Prof. Uri Weiser,Technion
Prof. Uri Weiser,TechnionProf. Uri Weiser,Technion
Prof. Uri Weiser,Technionchiportal
 
Ken Liao, Senior Associate VP, Faraday
Ken Liao, Senior Associate VP, FaradayKen Liao, Senior Associate VP, Faraday
Ken Liao, Senior Associate VP, Faradaychiportal
 
Prof. Danny Raz, Director, Bell Labs Israel, Nokia
 Prof. Danny Raz, Director, Bell Labs Israel, Nokia  Prof. Danny Raz, Director, Bell Labs Israel, Nokia
Prof. Danny Raz, Director, Bell Labs Israel, Nokia chiportal
 
Marco Casale-Rossi, Product Mktg. Manager, Synopsys
Marco Casale-Rossi, Product Mktg. Manager, SynopsysMarco Casale-Rossi, Product Mktg. Manager, Synopsys
Marco Casale-Rossi, Product Mktg. Manager, Synopsyschiportal
 
Dr.Efraim Aharoni, ESD Leader, TowerJazz
Dr.Efraim Aharoni, ESD Leader, TowerJazzDr.Efraim Aharoni, ESD Leader, TowerJazz
Dr.Efraim Aharoni, ESD Leader, TowerJazzchiportal
 
Eddy Kvetny, System Engineering Group Leader, Intel
Eddy Kvetny, System Engineering Group Leader, IntelEddy Kvetny, System Engineering Group Leader, Intel
Eddy Kvetny, System Engineering Group Leader, Intelchiportal
 
Dr. John Bainbridge, Principal Application Architect, NetSpeed
 Dr. John Bainbridge, Principal Application Architect, NetSpeed  Dr. John Bainbridge, Principal Application Architect, NetSpeed
Dr. John Bainbridge, Principal Application Architect, NetSpeed chiportal
 
Xavier van Ruymbeke, App. Engineer, Arteris
Xavier van Ruymbeke, App. Engineer, ArterisXavier van Ruymbeke, App. Engineer, Arteris
Xavier van Ruymbeke, App. Engineer, Arterischiportal
 
Asi Lifshitz, VP R&D, Vtool
Asi Lifshitz, VP R&D, VtoolAsi Lifshitz, VP R&D, Vtool
Asi Lifshitz, VP R&D, Vtoolchiportal
 
Zvika Rozenshein,General Manager, EngineeringIQ
Zvika Rozenshein,General Manager, EngineeringIQZvika Rozenshein,General Manager, EngineeringIQ
Zvika Rozenshein,General Manager, EngineeringIQchiportal
 
Lewis Chu,Marketing Director,GUC
Lewis Chu,Marketing Director,GUC Lewis Chu,Marketing Director,GUC
Lewis Chu,Marketing Director,GUC chiportal
 
Kunal Varshney, VLSI Engineer, Open-Silicon
Kunal Varshney, VLSI Engineer, Open-SiliconKunal Varshney, VLSI Engineer, Open-Silicon
Kunal Varshney, VLSI Engineer, Open-Siliconchiportal
 
Gert Goossens,Sen. Director, ASIP Tools, Synopsys
Gert Goossens,Sen. Director, ASIP Tools, SynopsysGert Goossens,Sen. Director, ASIP Tools, Synopsys
Gert Goossens,Sen. Director, ASIP Tools, Synopsyschiportal
 
Tuvia Liran, Director of VLSI, Nano Retina
Tuvia Liran, Director of VLSI, Nano RetinaTuvia Liran, Director of VLSI, Nano Retina
Tuvia Liran, Director of VLSI, Nano Retinachiportal
 
Sagar Kadam, Lead Software Engineer, Open-Silicon
Sagar Kadam, Lead Software Engineer, Open-SiliconSagar Kadam, Lead Software Engineer, Open-Silicon
Sagar Kadam, Lead Software Engineer, Open-Siliconchiportal
 
Ronen Shtayer,Director of ASG Operations & PMO, NXP Semiconductor
Ronen Shtayer,Director of ASG Operations & PMO, NXP SemiconductorRonen Shtayer,Director of ASG Operations & PMO, NXP Semiconductor
Ronen Shtayer,Director of ASG Operations & PMO, NXP Semiconductorchiportal
 
Prof. Emanuel Cohen, Technion
Prof. Emanuel Cohen, TechnionProf. Emanuel Cohen, Technion
Prof. Emanuel Cohen, Technionchiportal
 

Plus de chiportal (20)

Prof. Zhihua Wang, Tsinghua University, Beijing, China
Prof. Zhihua Wang, Tsinghua University, Beijing, China Prof. Zhihua Wang, Tsinghua University, Beijing, China
Prof. Zhihua Wang, Tsinghua University, Beijing, China
 
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...
 
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...
Prof. Steve Furber, University of Manchester, Principal Designer of the BBC M...
 
Prof. Uri Weiser,Technion
Prof. Uri Weiser,TechnionProf. Uri Weiser,Technion
Prof. Uri Weiser,Technion
 
Ken Liao, Senior Associate VP, Faraday
Ken Liao, Senior Associate VP, FaradayKen Liao, Senior Associate VP, Faraday
Ken Liao, Senior Associate VP, Faraday
 
Prof. Danny Raz, Director, Bell Labs Israel, Nokia
 Prof. Danny Raz, Director, Bell Labs Israel, Nokia  Prof. Danny Raz, Director, Bell Labs Israel, Nokia
Prof. Danny Raz, Director, Bell Labs Israel, Nokia
 
Marco Casale-Rossi, Product Mktg. Manager, Synopsys
Marco Casale-Rossi, Product Mktg. Manager, SynopsysMarco Casale-Rossi, Product Mktg. Manager, Synopsys
Marco Casale-Rossi, Product Mktg. Manager, Synopsys
 
Dr.Efraim Aharoni, ESD Leader, TowerJazz
Dr.Efraim Aharoni, ESD Leader, TowerJazzDr.Efraim Aharoni, ESD Leader, TowerJazz
Dr.Efraim Aharoni, ESD Leader, TowerJazz
 
Eddy Kvetny, System Engineering Group Leader, Intel
Eddy Kvetny, System Engineering Group Leader, IntelEddy Kvetny, System Engineering Group Leader, Intel
Eddy Kvetny, System Engineering Group Leader, Intel
 
Dr. John Bainbridge, Principal Application Architect, NetSpeed
 Dr. John Bainbridge, Principal Application Architect, NetSpeed  Dr. John Bainbridge, Principal Application Architect, NetSpeed
Dr. John Bainbridge, Principal Application Architect, NetSpeed
 
Xavier van Ruymbeke, App. Engineer, Arteris
Xavier van Ruymbeke, App. Engineer, ArterisXavier van Ruymbeke, App. Engineer, Arteris
Xavier van Ruymbeke, App. Engineer, Arteris
 
Asi Lifshitz, VP R&D, Vtool
Asi Lifshitz, VP R&D, VtoolAsi Lifshitz, VP R&D, Vtool
Asi Lifshitz, VP R&D, Vtool
 
Zvika Rozenshein,General Manager, EngineeringIQ
Zvika Rozenshein,General Manager, EngineeringIQZvika Rozenshein,General Manager, EngineeringIQ
Zvika Rozenshein,General Manager, EngineeringIQ
 
Lewis Chu,Marketing Director,GUC
Lewis Chu,Marketing Director,GUC Lewis Chu,Marketing Director,GUC
Lewis Chu,Marketing Director,GUC
 
Kunal Varshney, VLSI Engineer, Open-Silicon
Kunal Varshney, VLSI Engineer, Open-SiliconKunal Varshney, VLSI Engineer, Open-Silicon
Kunal Varshney, VLSI Engineer, Open-Silicon
 
Gert Goossens,Sen. Director, ASIP Tools, Synopsys
Gert Goossens,Sen. Director, ASIP Tools, SynopsysGert Goossens,Sen. Director, ASIP Tools, Synopsys
Gert Goossens,Sen. Director, ASIP Tools, Synopsys
 
Tuvia Liran, Director of VLSI, Nano Retina
Tuvia Liran, Director of VLSI, Nano RetinaTuvia Liran, Director of VLSI, Nano Retina
Tuvia Liran, Director of VLSI, Nano Retina
 
Sagar Kadam, Lead Software Engineer, Open-Silicon
Sagar Kadam, Lead Software Engineer, Open-SiliconSagar Kadam, Lead Software Engineer, Open-Silicon
Sagar Kadam, Lead Software Engineer, Open-Silicon
 
Ronen Shtayer,Director of ASG Operations & PMO, NXP Semiconductor
Ronen Shtayer,Director of ASG Operations & PMO, NXP SemiconductorRonen Shtayer,Director of ASG Operations & PMO, NXP Semiconductor
Ronen Shtayer,Director of ASG Operations & PMO, NXP Semiconductor
 
Prof. Emanuel Cohen, Technion
Prof. Emanuel Cohen, TechnionProf. Emanuel Cohen, Technion
Prof. Emanuel Cohen, Technion
 

Dernier

Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 

Dernier (20)

Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 

Design of 3D-Specific Systems: Perspectives and Interface Requirements

  • 1. Design of 3D-Specific Systems: Propsctives and Interface Requirements Paul Franzon North Carolina State University Raleigh, NC paulf@ncsu.edu 919.515.7351
  • 2. Outline  Overview of the Vectors in 3D Product Design Value Add Technology  Short term – find the low-hanging fruit  Medium term – Logic on logic, memory on logic  Long term – Extreme Scaling; Heterogeneous integration; Miniaturization  Overcoming Barriers to Employment 2
  • 3. Future 3DIC Product Space 3D Mobile Sensor Node Image sensor Heterogeneous Server Memory 3D Processor “Extreme” 3D Interposer Integration Time 3
  • 4. 3DIC Technology Set Bulk Silicon TSVs and bumps Face to face microbumps (25 - 40 mm pitch) (1 - 30 mm pitch) CTSV ~ 30 fF Tezzaron 4
  • 5. 3DIC Technology Set  Interposers: Thin film or 65/90 nm BEOL  Assembly : Chip to Wafer or Wafer to wafer 5
  • 6. Value Propositions Fundamentally, 3DIC permits:  Shorter wires  consuming less power, and costing less  The memory interface is the biggest source of large wire bundles  Heterogeneous integration  Each layer is different!  Giving fundamental performance and cost advantages, particularly if high interconnectivity is advantageous  Consolidated “super chips”  Reducing packaging overhead  Enabling integrated microsystems 6
  • 7. The Demand for Memory Bandwidth Computing Similar demands in Networking and Graphics Ideal: 1 TB / 1 TBps memory stack 7
  • 8. Memory on Logic Conventional TSV Enabled Less Overhead Flexible bank access x32 Less interface power N x 128 to 3.2 GHz @ >10 pJ/bit “wide I/O”  1 GHz @ 0.3 pJ/bit x128 Processor Flexible architecture or or Mobile nVidea Short on-chip wires 8
  • 9. Mobile Graphics  Problem: Want more graphics capacity but total power is constrained  Solution: Trade power in memory interface with power to spend on computation POP with LPDDR2 TSV Enabled LPDDR2 TSV IO Power Power GPU Consumption GPU Consumption 532 M triangles/s 695 M triangles/s Won Ha Choi 9
  • 10. Dark Silicon  Performance per unit power  Systems increasingly limited by power consumption, not number of transistors   “Dark Silicon” : Most of the chip will be OFF to meet thermal limits 10
  • 11. Energy per Operation DDR3 4.8 nJ/word Optimized DRAM core 128 pJ/word MIPS 64 core 400 pJ/cycle 11 nm 0.4 V core 200 pJ/op 45 nm 0.8 V FPU 38 pJ/Op SERDES I/O 1.9 nJ/Word (64 bit words) 20 mV I/O 128 pJ/Word LPDDR2 512 pJ/Word 1 cm / high-loss interposer 300 pJ/Word 0.4 V / low-loss interposer 45 pJ/Word On-chip/mm 7 pJ/Word TSV I/O (ESD) 7 pJ/Word TSV I/O (secondary ESD) 2 pJ/Word Various Sources 11
  • 12. Synthetic Aperture Radar Processor  Built FFT in Lincoln Labs 3D Process Metric Undivided Divided % Bandwidth (GBps) 13.4 128.4 +854.9 Energy Per Write(pJ) 14.48 6.142 -57.6 Energy Per Read (pJ) 68.205 26.718 -60.8 Memory Pins (#) 150 2272 +1414.7 Total Area (mm2) 23.4 26.7 +16.8% Thor Thorolfsson 12
  • 13. 3D FFT Floorplan  All communications is vertical  Support multiple small memories WITHOUT an interconnect penalty  AND Gives 60% memory power savings Thor Thorolfsson 13
  • 14. 2DIC vs. 3DIC Implementation vs. Metric 2D 3D Change Total Area (mm2) 31.36 23.4 -25.3% Total Wire Length (m) 19.107 8.238 -56.9% Max Speed (Mhz) 63.7 79.4 +24.6% Power @ 63.7MHz (mW) 340.0 324.9 -4.4% FFT Logic Energy (µJ) 3.552 3.366 -5.2% Thor Thorolfsson 14
  • 15. Tezzaron 130 nm 3D SAR DSP  Complete Synthetic Aperture Radar processor  10.3 mW/GFLOPS  2 layer 3D logic Logic only Logic, clocks,  All Flip-flops on bottom flip-flops partition  Removes need for 3D clock router  HMETIS partitioning used to drive 3D placement 6.6 mm face to face Thor Thorolfsson 15
  • 16. Shorter wires  Modest - Good Returns  Relying on wire-length reduction alone is not enough 2D Design 0.13 mm Cell Placement split across 6.6 mm face-to-face bump structure Results get less compelling with technology scaling, as the microbumps don’t scale as fast as the underlying process 16
  • 17. Increasing the Return 1. 3D specific architectures High Performance 2. Exploiting Heterogeneity Low Power/Accelerato Specialized RAM General RAM 3. Ultra 3D Scaling 17
  • 18. 3D Miniaturization Miniature Sensors  mm3 scale - Human Implantable (with Jan Rabaey, UC(B))  cm3 scale - Food Safety & Agriculture (with KP Sandeep, NCSU)  Problems:  Power harvesting @ any angle (mm-scale)  Local power management (cm scale) Peter Gadfort, Akalu Lentiro, Steve Lipa 18
  • 19. Mid-term Barriers to Deployment Barrier Solutions Thermal Early System Codesign of floorplan and thermal evaluation DRAM thermal isolation Test Specialized test port & test flow Codesign “Pathfinding” in SystemC CAD Interchange Standards Cost & Yield Supporting low manufacturing cost through design 19
  • 20. Long-term Barriers to Deployment Barrier Solutions Thermal & Power 3D specific temperature Deliver management New structures and architectures for power delivery Test & Yield Modular, scalable test and repair management Co-implementation Support for Modularity and Scalability Cost & Yield Supporting low manufacturing cost through design 20
  • 21. 3D Specific Interface IP Proposal: Open Source IP for 3D and 2.5D interfaces An interface specification that supports signaling, timing, power delivery, and thermal control within a 3D chip-stack, 2.5D (interposer) structure and SIP solutions 3DIC Circuits Bus IP CAD Constraint Interchange Resolution Formats (Proc. 3DIC 2011) 21
  • 22. Towards 3D Specific IP  Modular bus  In-situ constraint SHARED TSV CHANNEL #1 &#2 resolution MASTER SLAVE MASTER SLAVE MASTER GRANT SLAVE GRANT TSV #1 &#2 TSV #1 & #2 ARBITER  CAD “contracts”  CAD interchange standards 22
  • 23. Conclusions  Three dimensional integration offers potential to  Deliver memory bandwidth power-effectively;  Improve system power efficiency through 3D optimized codesign  Enable new products through aggressive Heterogeneous Integration  Main challenges in 3D integration (from design perspective)  Effective early codesign to realize these advantages in workable solutions  Managing cost and yield, including test and test escape  Managing thermal, power and signal integrity while achieving performance goals  Scaling and interface scaling 23
  • 24. Acknowledgements Faculty: William Rhett Davis, Michael B. Steer, Eric Rotenberg, Professionals: Steven Lipa, Neil DiSpigna, Students: Hua Hao, Samson Melamed, Peter Gadfort, Akalu Lentiro, Shivam Priyadarshi, Christopher Mineo, Julie Oh, Won Ha Choi, Zhou Yang, Ambirish Sule, Gary Charles, Thor Thorolfsson, Department of Electrical and Computer Engineering NC State University 24