SNUG Silicon Valley Call for Papers

Call for Papers Is Now Closed

Please contact the SNUG team if you need assistance.

If you have used Synopsys technology to overcome difficult design issues and to accelerate your innovation, the SNUG community wants to hear from you!

Share your experience using Synopsys tools and IP at the 2019 Synopsys Users Group (SNUG), Silicon Valley. SNUG brings together more than 2000 Synopsys users, technologists and industry experts for Silicon Valley’s largest technical conference devoted to the challenges of electronic design and verification.

As a published SNUG author, you will increase your visibility in the local design and worldwide Synopsys user communities. In addition to the professional recognition, you will be eligible for significant cash awards (please check your company’s gift acceptance policy).

The call for papers is open September 18 – November 9, 2018. The SNUG Technical Committee will review the submitted proposals and notify authors about program acceptance by November 15, 2018.

We have a preliminary list of topics to get you started, but don’t let that limit your ideas or innovation:

AI and Machine Learning

  • Improving productivity and achieving faster QoR closure with machine learning in the Synopsys design flow
  • From the data center to the edge – enabling highest performance AI designs with Synopsys implementation solution
  • AI architecture exploration and validation with virtual prototyping
  • Formal datapath verification & early software development and validation using emulation for AI processors
  • Using AI-ready IP to meet processing, memory, and connectivity requirements for deep learning applications

Automotive

  • Accelerate automotive software development and validation with virtual prototyping
  • Complete functional safety verification solution with formal and static verification, and industry-leading fault simulation
  • Unique semiconductor-focused FMEA/FMEDA automation
  • Implementing safety critical designs for automotive applications
  • Designing ISO 26262 required In-System Test using Synopsys tools
  • High reliability design techniques for automotive designs
  • Accelerating ISO 26262 certification with ASIL Ready Certified IP

Analog Mixed Signal Simulation

  • Application of Monte Carlo analysis to improve AMS circuit robustness with HSPICE, FineSim or CustomSim
  • How to minimize design margin with accurate reliability analyses including heat-aware EM, IR and device aging with CustomSim, FineSim or HSPICE
  • Best practices in mixed-signal verification with advanced digital verification methodology with CustomSim and VCS
  • How to verify power and signal integrity for multi-gigabit circuits with HSPICE
  • Application of CustomSim Circuit Check to find electrical rule violations in circuits

Custom Implementation

  • Productivity gain from using Custom Compiler Template Assistants (Symbolic Editor)
  • Productivity gain from using Custom Compiler In-Design Assistants (DRD, EM/IR, RCx)
  • Productivity gain from using Custom Compiler’s Co-Design with IC Compiler II
  • Robust analog design from using Custom Compiler and SAE (simulation Analysis Environment) simulation and analysis environment 

Design PPA, TTR Optimization and Signoff

  • Optimal design flow for digital implementation of advanced  node designs
  • Accelerating turnaround time for large designs with Design Compiler Graphical and IC Compiler II
  • How to achieve best Performance, Power and Area for Arm CPUs
  • Using parallel processing to accelerate physical and full chip timing signoff
  • Accelerating full chip TAT for large designs using IC Validator physical signoff
  • Optimization techniques for low-power IoT designs
  • Early time-based peak power analysis with PrimePower with RTL-based vectors
  • Using physical-aware ECO capabilities to improve PPA and accelerate timing closure

FPGA Synthesis

  • Accelerate FPGA design and validation utilizing the FPGA platform
  • Advanced debug for faster design completion 
  • Optimizing FPGA design for best area and performance 
  • Complete functional safety design automation for FPGA based applications 

Silicon Test and Yield Analysis

  • Success with early RTL analysis, physically-aware and area-saving DFT, higher defect detection, lower pattern count/test time, faster and volume diagnostics
  • Highlighted applications include automotive, mobile, and processors

SoC Verification

  • Improving simulation throughput with fine-grained parallelism (FGP)
  • Best practices for estimation and verification of low power designs
  • Verification of system performance on a SoC or subsystem
  • Faster and better convergence using formal methods
  • Best practices for verification coverage planning and closure
  • Verification of system performance on a SoC or subsystem with fast emulation
  • Best practices for implementing CDC/RDC sign-off
  • Improving productivity using advanced debug techniques (including AMS and HW/SW debug)
  • Best practices for implementing verification IP (VIP)

Software Bring-up

  • Accelerating software bring-up with emulation and prototyping
  • Improving software-driven hardware verification with hybrid-emulation
  • Using FPGA-based prototyping to accelerate system validation of IP and SoCs
  • Accelerating software development with virtual prototyping

Successful IP Integration into SoCs

  • Interface IP such as USB, PCI Express, DDR, MIPI, Ethernet, Multi-Protocol SerDes, etc.
  • Embedded ARC processors & embedded vision processors
  • Security IP such as tRoot hardware secure modules & cryptography IP
  • OTP non-volatile memory, memory compilers & logic libraries
  • Integration of IP into cloud computing SoC designs
  • Integration of IP on advanced FinFET designs

Copyright Statement

Please carefully read the following notice before submitting your written materials to the SNUG program.

By submitting materials to the SNUG program, you and your employer are giving Synopsys the following rights: to reproduce, publish and distribute the submitted materials on the SNUG web site for access by Synopsys employees, contractors, and licensees.

It is your responsibility to confirm that your employer agrees to the use described above. You and your employer reserve the right to modify the submitted materials at any time. Synopsys shall reproduce any copyright or other legal notices that you include in your submitted materials. Synopsys will not use your submitted materials for product marketing purposes without first obtaining your express written consent.

If you have any questions about this copyright statement, please contact the SNUG team before submitting your proposal.

For the complete author submission timeline, please view the Author's Kit.

Have a question? Ask your SNUG Team

We look forward to hearing from you!

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