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3D IC

3D IC

Siemens Digital Industries Software

As the semiconductor industry struggles with the limits of Moore’s Law, traditional monolithic scaling is no longer enough to meet performance, power, area and cost demands in technology, design, analysis, and manufacturing. 3D IC by Siemens is your go-to podcast for exploring the cutting-edge world of 3D IC packaging—a revolutionary approach reshaping semiconductor design, system integration, and heterogeneous computing. Join industry leaders, engineers, and innovators as we break down advanced IC packaging solutions like 2.5D/3D IC, FCBGA, FOWLP, and more. Discover how chiplets, multi-die integration, and high-bandwidth memory (HBM) are driving higher performance, lower power consumption, and scalable architectures. In each episode, we dive deep into the challenges and opportunities of IC design and manufacturing, including: Roadmap for advanced packaging and heterogeneous integration in semiconductor scaling Mainstream adoption of 3D IC—key challenges and breakthroughs Optimizing micro-architecture and integration platforms for performance and efficiency Strategic planning of chiplets and interposers for hierarchical device integration Leveraging early predictive multi-physics analysis to enhance design accuracy Automating design and routing for RDL-based fan-out wafer-level packaging (FOWLP) Exploring glass substrates for superior electrical and thermal performance Developing test-vehicles and daisy chain designs for architectural validation Ensuring reliability and manufacturability in 3D IC heterogeneous integration Mastering Signal Integrity (SI) and Power Integrity (PI) Analysis for high-speed systems Managing thermal challenges in stacked die architectures Subscribe now and stay ahead in the world of 3D IC. Learn more: Siemens 3D IC Packaging Solutions

26 - Nothing's for Free: Piyush Sancheti on the Real Trade-Offs Behind 3D IC Adoption
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  • 26 - Nothing's for Free: Piyush Sancheti on the Real Trade-Offs Behind 3D IC Adoption

    From AI accelerators to automotive silicon, what does it actually take — organizationally, economically, and technically — to make 3D IC work in the real world? What you’ll learn... (01:59) What's already shipping: real-world 2.5D and 3D IC products in data centers, mobile devices, and AI accelerators — and why linear, monolithic SoC flows no longer scale for 3D IC design (05:44) Is 3D IC the right economic decision? Weighing ROI and the two forks in the road (08:24) Geopolitics and the shift from single-foundry lock-in to a fragmented, multi-supplier ecosystem (11:01) The cultural shift: bringing electrical, mechanical, and materials science disciplines together (13:54) Why EDA is the glue for multidisciplinary 3D IC design (14:32) STCO explained: shifting design decisions left with a unified "cockpit" view (18:36) Inside the expanded Siemens–NVIDIA AI partnership announced at CES 2026 (20:03) Why system companies are moving into custom silicon — Meta's MTIA and Tesla's Dojo 3 (24:11) Looking ahead: integrated photonics, glass interposers, and wafer-scale computing (29:37) Physical AI at the edge: latency, power, and reliability requirements More about this episode... In this episode of the Siemens 3D IC Podcast, closing out the season, host Tova Levy speaks with Piyush Sancheti, VP of Central Engineering Solutions (3D IC) at Siemens EDA, for a full-circle look at where 3D IC adoption stands today. Piyush explains that 3D IC has moved well past research: 2.5D packaging is now mainstream in AI and HPC, and true 3D stacking is moving beyond HBM into logic dies. But the biggest lesson for early adopters isn't technical, it's organizational: linear, monolithic SoC flows don't scale once packaging, multi-physics, and manufacturing all have to be considered together from day one. That theme carries through the economics of adoption (there's no one-size-fits-all, it depends on end market), the geopolitical push toward a diversified, multi-supplier ecosystem, and the cultural shift needed to unite electrical, mechanical, and materials engineering teams. Piyush also unpacks STCO (system technology co-optimization) as a shift toward earlier design-space exploration, Siemens' unified "cockpit" vision for 3D systems, and the expanded Siemens–NVIDIA partnership announced at CES 2026. He closes by looking at why system companies like Meta (MTIA) and Tesla (Dojo 3) are building their own custom silicon, what's next for the industry (co-packaged optics, glass interposers, wafer-scale computing), and how physical AI at the edge is reshaping 3D IC's latency and power requirements. Ideal for: 3D IC architects, EDA users, chip and system-level design leaders, semiconductor strategists tracking geopolitical and supply-chain shifts, and anyone trying to understand where multi-die integration is headed next. Connect with Tova Levy LinkedIn Website Connect with Piyush Sancheti LinkedIn Siemens EDA

    Wed, 12 Aug 2026
  • 25 - From Hype to Engineering: How AI Actually Works in 3D IC design

    What can AI actually do in 3D IC design today — and what's still science fiction? What you’ll learn… (01:25) Sudarshan's role leading global 3D IC software R&D at Siemens (02:30) The real starting challenges of 3D IC design — and why there's no playbook yet (05:25) Breaking down organizational silos between silicon, packaging, and mechanical teams (05:49) Why semiconductor AI must be domain-specific, not just a chatbot (10:34) AI as an engineering co-pilot for design space exploration (13:38) Beyond design: AI's impact on materials, yield, and reliability prediction (17:41) The shift toward AI-native, multiphysics co-optimization workflows (21:16) Ethical pitfalls: explainability, data governance, and IP protection (24:50) AI's role in the global, geopolitical semiconductor landscape (27:48) How Siemens is building this with HEEDS and the Fuse EDA AI system More about this episode… In this episode of the Siemens 3D IC Podcast, host Tova Levy speaks with Sudarshan Deo, Software Engineering Manager for 3D IC at Siemens, about what AI can — and can't — actually do in 3D IC design today, and why the hype rarely matches the reality on the ground. Sudarshan breaks down the biggest misconception in the field: that AI is either a magic box that will design chips end-to-end, or just hype dressed up as a buzzword. The truth, he argues, sits in between — semiconductor AI has to be domain-specific, physics-aware, and explainable, not a general-purpose chatbot. He walks through where AI is already delivering value, from narrowing design space exploration in chiplet partitioning and floor planning, to identifying promising materials and process combinations, to flagging reliability risks like thermal cycling and stress before they become expensive late-stage fixes. The conversation also covers the organizational side — how 3D IC forces silicon, packaging, and mechanical teams out of their silos — and the ethical considerations that come with deeper AI adoption: explainability, data governance, and IP protection across foundries. Sudarshan closes by outlining Siemens' own approach, using Simcenter HEEDS for design space exploration and the Fuse EDA AI system to orchestrate engineering workflows end to end, while making clear that none of this replaces human judgment — it just changes how fast and how far that judgment can reach. Ideal for: 3D IC and chiplet design engineers, EDA tool users, AI/ML practitioners in semiconductor workflows, packaging and reliability engineers, and anyone evaluating where AI genuinely helps versus where it's overhyped in chip design. Connect with Tova Levy LinkedIn Website Connect with Sudarshan Deo LinkedIn Siemens EDA

    Wed, 05 Aug 2026
  • 24 - Beyond the Silo: Managing Data at the Speed of 3D IC Design

    What happens when a single untracked design change turns into a multi-billion-dollar public scandal? What you’ll learn... (00:00) Why data — not just design — is the hidden challenge behind every 3D IC (01:55) A real-world case study: how poor traceability triggered a costly public recall (04:06) The "mini database" problem: how tool sprawl scatters chip design data (06:10) Why 3D IC makes data management so much harder than traditional SoC design (08:32) What is an "atomic change," and why it's critical for design consistency (10:15) Three foundational building blocks for managing data at scale (12:42) IPLM vs. PLM: what's the difference, and why do you need both? (15:19) The human cost of poor data management: hunting, silos, and burnout (18:15) Why better data management makes onboarding faster and easier (19:42) Inside the Perforce–Siemens partnership and what's next for 3D IC workflows More about this episode… In this episode of the Siemens 3D IC Podcast, host Tova Levy speaks with Vishal Moondhra, VP of Solutions at Perforce Software, about why data — not just design complexity — may be the biggest hidden risk in 3D IC development, and what teams can do about it. Vishal opens with a real-world cautionary tale: a major chip company that shipped a security flaw across its product line, then discovered it lacked the traceability to know which variants needed the fix — a gap that led to a multi-billion-dollar hit to its market cap. From there, the conversation digs into why 3D IC makes this problem so much worse: every tool builds its own "mini database," changes ripple across interdependent dies and interposers, and AI-driven workflows are only multiplying the volume of data being generated. Vishal introduces the concept of the "atomic change" — capturing everything or nothing, so partial updates never slip through — and lays out the foundational building blocks of scalable data management, before drawing a clear line between PLM (product-level, slow-moving, heavily governed) and IPLM (design-level, fast-paced, daily). He closes by walking through the growing partnership between Perforce and Siemens, and how IPLM is being integrated across tools like Solido, Calibre, and Questa to give engineering teams a single source of truth. Ideal for: 3D IC and SoC design teams, data and IP management leads, verification and design engineers, EDA tool users, and anyone responsible for traceability, compliance, or onboarding across a fast-scaling chip design organization. Connect with Tova Levy LinkedIn Website Connect with Vishal Moondhra LinkedIn Perforce IPLM

    Wed, 29 Jul 2026
  • 23 - The Wire Problem: Why Advanced Packaging Is the Only Answer Left as Moore's Law Runs Out

    What does it take to build a chip when the chip itself is an ecosystem — and the wire connecting everything has become the biggest bottleneck in modern semiconductors? What you’ll learn... (00:56) Bob's background and the founding of NHanced Semiconductors (01:17) What "foundry agnostic" really means — and why trust matters (03:16) How advanced packaging became a front-and-center design discipline (04:30) Why wire — not transistors — now dominates power and delay (06:46) The ecosystem village: EDA vendors, foundries, and test houses (09:05) NHanced's collaboration with Siemens and Calibre 3D (11:09) Making 3D IC accessible: MPWs, chiplets, and lower barriers to entry (15:00) DFM advice: test planning, wire length, and stakeholder alignment (18:30) Three to five years out: chiplets, photonics, and targeted designs (23:05) Bob's message to the ecosystem: invest in the ADK/PDK flow More about this episode... In this episode of the Siemens 3D IC Podcast, host Tova Levy speaks with Bob Patti, President and CEO of NHanced Semiconductors, about what it takes to build and scale advanced packaging — and why the wire, not the transistor, has become the defining challenge of modern chip design. Bob opens by explaining what makes NHhanced's foundry-agnostic model work: the company operates like a CMOS fab but builds no transistors, positioning it as a trusted neutral partner rather than a competitor to the foundries it works with. That neutrality is what allows NHanced to take material from virtually every major fab in the world and integrate it into complex 2.5D and 3D packages. He then makes the case for why advanced packaging has moved from a backend afterthought to a front-and-center discipline. As transistors have scaled, wiring has gotten worse — now accounting for roughly 95% of the power and delay in modern circuitry. Advanced packaging attacks that problem directly, reducing wire length by orders of magnitude and enabling power reductions of up to 1000x in die-to-die interconnects. Achieving this requires the full ecosystem: EDA vendors, foundries, OSATs, and test houses collaborating from day one — with Siemens and Calibre 3D called out specifically for leading ADK development and making advanced packaging accessible to designers who aren't packaging specialists. The episode closes with a look ahead: in the next three to five years, Bob sees a broader chiplet market, more off-the-shelf high-performance components including GaN and photonics, and a return to targeted, application-specific design — only now powered by heterogeneous integration. Ideal for: 3D IC architects, advanced packaging engineers, chiplet ecosystem participants, EDA users, semiconductor startup founders, and anyone navigating the transition from monolithic SoC design to heterogeneous integration. Connect with Tova Levy LinkedIn Website Connect with Bob Patti LinkedIn  NHanced Semiconductors Website

    Wed, 22 Jul 2026
  • 22 - From Silos to System: Sujit Sharan on the Cultural and Technical Shift 3D IC Demands

    What does it take for one of the world's most complex engineering organisations to commit — fully — to 3D IC as a strategic direction? And what does that commitment reveal about the gaps the entire industry still needs to close? What you’ll learn... (02:07) Sujit's background: 30+ years in semiconductor processing and packaging, 300+ patents across X-ray lithography, CMP, and advanced thin film (02:07) The three vectors driving Intel's 3D IC strategy: reticle size limits, AI/HPC memory bandwidth demands, and chiplet cost efficiency (04:33) EMIB for 2.5D lateral die-to-die interconnects, and Foveros / Foveros Direct for 3D vertical copper-to-copper hybrid bonding (06:48) Tackling design partitioning, thermal management, power delivery, and testability through STCO — System Technology Co-Optimization (09:45) The biggest ecosystem challenge: breaking down cultural silos between silicon, package, and board design teams (13:10) Why showing engineers real co-design data was the decisive factor in driving the mindset shift (14:33) The EDA gaps still needing breakthroughs: full-stack digital twin, integrated multi-physics simulation, and cloud-based collaboration (17:50) Killer app segments: AI and HPC, autonomous driving, communications bandwidth, and AI-driven EDA automation (20:16) What the 3D IC era demands of engineers: T-shaped skills, cross-domain awareness, and real-world trade-off thinking (24:57) Sujit's call to action: shift from tool-centric to system-level thinking, build the digital twin, standardise data exchange More about this episode... In this episode of the Siemens 3D IC Podcast, host Tova Levy speaks with Sujit Sharan, Intel Fellow in the Advanced Packaging Technology & Manufacturing Organization at Intel Corporation. With over 30 years in semiconductor processing and packaging and more than 300 issued patents, Sujit is one of the industry's foremost voices on making 3D IC real at production scale. Three forces drive Intel's 3D IC strategy: reticle size limits on monolithic die; AI and HPC bandwidth demands requiring memory physically close to compute; and the cost efficiency of chiplet disaggregation. Intel's response is EMIB (Embedded Multi-die Interconnect Bridge) for lateral 2.5D die-to-die and die-to-HBM connections, and Foveros / Foveros Direct for vertical 3D stacking via copper-to-copper hybrid bonding — complementary technologies, not competing ones. Managing this complexity means abandoning the silo model. Sujit's answer is STCO — System Technology Co-Optimization — treating silicon, package, and board as one integrated system. Cultural resistance was real; the solution was data, showing engineers the measurable gains co-design actually delivers. The ultimate EDA goal is a full-stack digital twin spanning electrical, thermal, and thermomechanical analysis with near-real-time feedback. Siemens' Innovator 3D IC is a step in that direction, but standardised data exchange and cloud-based collaboration remain critical gaps. Sujit's call to action: EDA partners must shift from tool-centric to system-level thinking — and the whole industry needs to move together. Ideal for: 3D IC architects, silicon IP designers, advanced packaging engineers, chiplet ecosystem participants, EDA users, and anyone navigating the shift from monolithic SoC design to heterogeneous, disaggregated integration. Connect with Tova Levy LinkedIn Website Connect with Sujit Sharan LinkedIn

    Wed, 15 Jul 2026
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