Engineering a Scalable Quantum Computer …...distributed which has hardware & software implications...
Transcript of Engineering a Scalable Quantum Computer …...distributed which has hardware & software implications...
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LETI Innovation Days—D43D 2019: Design for 3D Stacking Workshop June 25th, 2019
Shawna Liff
Principal Engineer & Assembly Prototyping Lab Manager
Intel Corporation
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Outline• Industry Trends
• Heterogeneous Integration Optimizations
• Cost
• Performance
• Time-to-Market (& Dependable)
• Summary
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A Data-Centric World
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Ubiquitous Data Provides Opportunity
Goal—Enable Scalable, Energy Efficient Compute from Sensors to Servers
Amount of data generated is growing exponentially
Raw data by itself is of little value, but when refined into useful data, it can be significant
Storage and movement of data becomes as critical as computation
Ref: https://blog.seagate.com/human/idc-asks-whats-your-datcon-are-you-ready-for-never-ending-global-data-expansion/
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Data Volume Changes Data Center Topology
Data transport cost exceeds compute cost
Consequently, data centers proliferating near the edge, closer to data
Enabling reduced transmission costs, greater privacy, lower latency
Within a data center, compute/data are distributed which has hardware & software implications
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Ref: R. Nagisetty, Chiplet Ecosystem Presentation, OSDA 2019.
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Rise of Domain Specific Architectures
Google’s TPU for neural net inference
Efficiency gains by tailoring architecture to domain characteristics
Benefits enhanced by co-design of Domain Specific Language (DSL) with Domain Specific Architectures (DSA)
- More effective parallelism for a specific domain
- More effective use of memory bandwidth
- Elimination of unneeded accuracy
DSA’s/DSL’s are designed for targeted environments (eg.)
- Neural networks for Machine Learning
- GPU’s for graphics and VR
- Imaging, graph processing
- Programmable network switches & interfaces…Ref: Norman P. Jouppi, Cliff Young, Nishant Patil, David PattersonCommunications of the ACM, September 2018, Vol. 61 No. 9, Pages 50-59
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Generalization vs. Specialization Inflection
Ref: https://www.defensemedianetwork.com/stories/the-intertwined-history-of-darpa-and-moores-law/ Nov. 19, 2018 Ref: Gordon Moore, Nov. 8, 1965
It may prove to be more economical to buildlarge systems out of smaller functions, whichare separately packaged and interconnected.The availability of large functions, combinedwith functional design and construction, shouldallow the manufacturer of large systems todesign and construct a considerable variety ofequipment both rapidly and economically.
Moore’s Law Evolves & Heterogeneous Integration Provides Flexibility for Product Performance & Cost Optimization
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Numerous Integration Solutions Available
How to select the right advanced packaging solution for the product?
FC-LGA InFO EMIB CoWoS(Passive Interposer)
Foveros (3D)
AMD Zen 2 Apple A10 Intel Stratix 10 Intel LakefieldNvidiaTesla V100
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• Cost
• Performance
• Time-to-Market (& Dependable)Ref: Cheung, Wai Ming, Newnes, Linda, Mileham, Antony, Marsh, Robert and Lanham, John (2009) Data Modelling and Optimization in Cost Estimation for Innovative Low Volume Product Development. In: ICMR'09 - 7th International Conference on Manufacturing Research, 8th - 10th September 2009, Warwick, UK
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Cost Optimization
Ref: Open Compute Project, https://www.eetimes.com/document.asp?doc_id=1334826#
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Interconnect Optimization
Ref: https://semiengineering.com/waiting-for-chiplet-interfaces/Ref: https://newsroom.intel.com/wp-content/uploads/sites/11/2019/04/interconnect-scope-infographic.pdf
Ideally a multi-chip package would perform as near to monolithic IC as possible, but physical & cost constraints drive interconnect & protocol selection.
On Board & Off
On Package & Off
On Die & Off
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Lateral Interconnect Solutions
Solution cost trends inversely with half-line pitch
• Where organic is less expensive than silicon
Consequently a trade-off between dense and slow signaling vs. wide and fast is made, pending reach.
IO/m
m/L
ay
er
Half Line Pitch (mm)
Technologies that use Si backend wiring
Traditional Organic Packages (FCBGA)
FO-Interposers or High Density Organic Interposers
Ref: R. Mahajan, 3D & Systems Summit, 2019Ref: R. Mahajan, ECTC, 2016
HDI….PCB
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Vertical Interconnect Solutions
Higher Density (smaller pitch) enables• Smaller die size• Simpler, smaller circuits• Lower power
However, smaller pitch drives• Denser lateral interconnect solution• More complex assembly with
• More stringent cleanliness
Pitch (mm)
Ve
rtic
al
De
nsi
ty (
IO/m
m2)
HDI PCBTraditional Organic
Package (FCBGA)
2.5D & 3D Solutions
Ref: I. Jani et al, ECTC 2019
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Comparison of Advanced Solutions
Package (FCxGA)
Fan Out (Chip First)
Fan Out (Chip Last)
EMIB Passive Silicon Interposer
Foveros On-die
Package Size (mm2)
<10,000 <400<2000
<3200 <10,000 (local Si Bridge)
<1600 2400
<830 < 830
Lateral Density (IO/mm/ly)
~35 100-333 60-333 1000+ 1000+ 1000+ 1000+
Vertical Density (IO/mm2)
>100 NA TBD >330 >330 >400 >105
AMD Zen 2 Apple A10
Ref. D. Oh, IMAPS Keynote, 2019
Intel Stratix 10 Intel LakefieldNvidiaTesla V100
Samsung TBD
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Other ConsiderationsAffordable chiplet solutions drive need for
True KGD• Comprehensive coverage at wafer sort
• DFT differentiation
Multi-vendor solution interoperability, debug & validation
• Resilience to chiplet & system solution differences • Design to avoid marginalities e.g. voltage margining,
repair/recoverability, etc.• Mechanical & electrical characteristics known • Manufacturing traceability
Comprehension of power & thermals• Predictive workloads and power density mapping• Solutions for
• Thermal cross-talk• Junction temperature limitations • Power/Temperature management
Ref: R. Nagisetty, Chiplet Ecosystem Presentation, OSDA 2019.
Ref: R. Mahajan & R. Sankman, “3D Packaging Architectures and Assembly Process Design” Chapter 2 of 3D Microelectronics Packaging, 2017.
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Heterogeneous Integration
Enables Compelling Products
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Summary
Changing Market Drives
Domain Specific Architectures
Explosive growth of data
diverse and complex workloads
Sophisticated customer requirements
Agile Advanced Packaging
Provides Performance, Cost & Time-To-Market Flexibility
Opportunities abound in a burgeoning chiplet industry (“A New Golden Age”) & rapid advancements in performance, cost, & manufacturing are expected.
Ref: J.L. Hennessy and D.A. Patternson, “A New Golden Age for Computer Architecture,” Communications of the ACM, February 2019
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