The Call for Content is open. You can check status of your proposal in the submission portal. The SNUG Technical Committee will review the submitted proposals & notify presenters of preliminary program acceptance on March 26, 2026.
For over three decades, SNUG has connected users and technical experts to network and share best practices for tackling design and verification challenges. As a SNUG presenter, you will increase your visibility in the Synopsys user community. In addition to the professional recognition, you will be eligible for awards (please check your company’s gift acceptance policy).
Call for content is open from January 6, 2026. The SNUG Team will review the submitted proposals and notify presenters of preliminary program acceptance by March 26, 2026.
SNUG India brings together leading industry experts to address the most impactful market verticals in semiconductor and systems innovation. We invite submissions that reflect advancements, challenges, and creative solutions within these domains. Share your insights and contribute to shaping the future of technology alongside Synopsys and our vibrant user community. To help you get started, we have prepared a preliminary list of topics, but don't let that limit your ideas or innovation:
Market Verticals
AI & HIGH-PERFORMANCE COMPUTING (HPC)
Explore the forefront of system design and innovation for advanced computing platforms supporting AI and machine learning workloads. Topics encompass next-generation compute architectures, performance optimization, scalable power and thermal management strategies, advanced interconnect and memory technologies, and robust design methodologies for both data center and edge deployments.
This track also includes 3DIC and multi-die integration, enabling heterogeneous integration of processors, memory, and specialized accelerators to achieve higher bandwidth, density, and energy efficiency—critical for AI and HPC applications. Sessions will highlight Synopsys solutions that accelerate the development, verification, and integration of complex AI/HPC systems, addressing challenges in scalability, reliability, and performance.
FOUNDRY & MANUFACTURING
Delve into manufacturing-centric design practices and collaborative foundry engagement to accelerate silicon success. Topics include TCAD-driven process and device modeling, advanced variability and yield analysis, reliability engineering, and leveraging manufacturing data for design enhancement across leading-edge and established process nodes. Gain insights into how early integration of manufacturing knowledge combined with Synopsys EDA solutions can drive higher quality, reduce risk, and accelerate time-to-market for semiconductor products.
SOFTWARE-DEFINED SYSTEMS
Discover the convergence of hardware and software in the development of intelligent, connected systems. Topics focus on hardware–software co-design for automotive and autonomous platforms, system-level modeling, simulation-based validation (including Ansys tools and solutions), and methodologies to minimize integration risks through early virtual prototyping. Sessions will showcase Synopsys’ comprehensive tools and flows that enable rapid, reliable development of software-defined systems, from concept through deployment.
SILICON PROLIFERATION
Examine the expanding influence of silicon innovation across emerging and diverse application domains. Topics cover vision computing, AR/VR platforms, domain-specific IP, and the integration of compute, sensor, and interface technologies. Emphasis is placed on scalable, reusable silicon building blocks and strategies for overcoming integration challenges. Learn how Synopsys solutions empower designers to accelerate product development, enhance interoperability, and unlock new possibilities in next-generation silicon-enabled systems.
Other Key Topics:
ANALOG/MIXED-SIGNAL DESIGN AND SIMULATION
DESIGN AND VERIFICATION IN THE CLOUD
DIGITAL DESIGN IMPLEMENTATION
ELECTRICAL LAYOUT VERIFICATION
ENERGY-EFFICIENT SoCs
Enhancing Energy Efficiency in Next-Generation SoCs: Explore cutting-edge strategies to optimize energy efficiency in SoCs, focusing on AI-driven power management, comprehensive hardware/software energy evaluations, and addressing the specialized power demands of smart edge devices and crypto chips.
MULTI-DIE DESIGN
Driving Semiconductor Innovation with Multi-Die Designs: Explore the transformation from monolithic SoCs to multi-die designs with Synopsys' comprehensive and scalable solutions. Share insights on leveraging EDA tools and IP for early architecture exploration, rapid software development and validation, efficient die/package co-design, robust die-to-die connectivity, and improved manufacturing and reliability.
PHYSICAL VERIFICATION
Accelerating Physical Verification for Complex SoCs: Optimize SoC integration by utilizing multi-CPU scalability for faster verification, managing dirty designs, and implementing shift-left strategies to enhance physical verification and repair processes.
SECURITY & SAFETY
SIGNOFF
SILICON TEST AND LIFECYCLE MANAGEMENT
IP
SOFTWARE DEVELOPMENT & SYSTEM DESIGN [Hardware-Assisted Verification]
VERIFICATION SOFTWARE
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: (1) to reproduce, publish and distribute the submitted materials on the SNUG web site and Virtual platform for access by Synopsys employees, contractors, and licensees.
It is your responsibility to confirm 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 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.
If you have any questions, please contact the SNUG team.
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