Bugged Out Podcast Por Siemens Digital Industries Software arte de portada

Bugged Out

Bugged Out

De: Siemens Digital Industries Software
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Every chip has bugs — the real question is how fast you can find and fix them. Bugged Out is the bite-sized podcast where we shine a light on the art (and science) of functional verification. In just 10–15 minutes per episode, host Harry Foster, Chief Scientist, Verification, Siemens EDA, sits down with leading innovators, engineers, and researchers to talk about what’s shaping the future of verification — from AI-driven tools to design-for-test, coverage closure, reliability, and more. Expect candid conversations, practical insights, and a few “war stories” from the trenches of debug. Whether you’re a verification engineer, a design lead, or simply curious about how we “get the bugs out” of the chips that power our world, Bugged Out delivers focused, informative conversations designed to fit your busy schedule.Siemens Digital Industries Software
Episodios
  • Breaking the coverage bottleneck: Unifying verification for modern chips

    Breaking the coverage bottleneck: Unifying verification for modern chips
    Apr 2 2026
    Harry Foster talks with Vladislav Palfy, Director of Solutions Management at Siemens EDA, about why coverage closure has become one of the biggest bottlenecks in modern verification. Drawing on insights from his white paper, Questa One Unified Coverage Solution: Transforming Verification Through Intelligence, Vladislav explains how traditional brute-force approaches to coverage are struggling to keep up with the complexity of today’s semiconductor designs. Learn how a unified, intelligent approach to coverage—combining planning, automation, and analytics—helps teams break through coverage plateaus, reduce regression effort, and achieve faster, more confident verification closure. Key Discussion Points Why coverage closure is so hard today: How increasing design complexity and fragmented workflows have turned the last 10% of coverage into a major project risk. The coverage plateau problem: Why adding more tests often stops improving coverage—and how intelligent analysis helps teams target the real gaps. Unified coverage explained: How integrating planning, analysis, and execution creates a more systematic and predictable path to verification completeness. The role of the unified coverage database: How a centralized coverage architecture enables collaboration across teams, tools, and geographies. From brute force to intelligent automation: How targeted test generation and coverage analytics dramatically reduce regression workloads. Looking ahead: How AI-driven verification and predictive coverage planning could transform how engineers approach coverage closure in the next generation of chip design.
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    19 m
  • SDC verification as a first-class asset: A deep dive with Chandu Challapalli

    SDC verification as a first-class asset: A deep dive with Chandu Challapalli
    Jan 27 2026
    In this episode of Bugged Out, Harry Foster talks with Chandu Challapalli, Senior Management Director at Siemens EDA, about why timing constraints must be treated as first-class verification assets. Drawing on insights from his white paper, A Guide to SDC-Based Timing-Intent Verification with Questa One, Chandu explains how automated SDC verification uncovers hidden timing risks, balances under- and over-constraining, and shifts timing validation earlier in the design cycle. Learn how Questa One brings structure and automation to timing-intent verification—helping teams achieve faster signoff and greater confidence in first-pass silicon success. Key Discussion Points Why Timing Constraints Matter: How SDC files capture design intent—and why ignoring their verification invites silicon risk. What Is Timing-Intent Verification?: A clear explanation of validating clocks, exceptions, and constraints against real design behavior. Finding the Right Balance: The hidden costs of under-constraining versus over-constraining timing. Common SDC Pitfalls: Missing clocks, invalid exceptions, and legacy constraints that mask real bugs. Shifting Left on Timing: Why verifying constraints early—alongside RTL—reduces late-stage surprises. What’s Next: A glimpse into continuous, AI-assisted timing-intent verification and tighter frontend/backend alignment.
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    14 m
  • FutureCast 2026 — Part 2: Specialization, power, and intelligent verification

    FutureCast 2026 — Part 2: Specialization, power, and intelligent verification
    Dec 16 2025
    In Part 2 of the special FutureCast 2026 holiday series, Harry Foster continues exploring how the semiconductor landscape is rapidly changing — and why the next phase of innovation will be shaped as much by constraints as by breakthroughs. This episode examines the forces pushing systems toward specialization, the growing challenge of data movement, and the rising impact of power, security, and runtime behavior on system correctness. Harry also discusses how verification teams can scale as complexity expands and why agentic AI will become essential to automation and workflow orchestration. Key Discussion Points: Why specialization becomes unavoidable as AI, robotics, and domain-specific compute accelerate The growing impact of data movement bottlenecks and memory-centric architectures How HBM, near-memory compute, analog accelerators, and photonics break legacy abstractions Why physical effects such as thermals and statistical variation now influence functional correctness How verification evolves across cross-domain workflows without overwhelming engineering teams The role of hybrid digital twins in unifying logic, performance, physical behavior, and verification intent Why power ceilings, security boundaries, and model drift become architectural concerns How runtime safety, isolation, and lifecycle monitoring reshape verification planning Why agentic AI shifts from tool enhancement to workflow orchestration and continuous validation Predictions for 2026: AI-assisted verification becomes standard, and data movement emerges as a verification challenge Predictions for 2030: thermal- and statistical-aware verification become standard practice, and agentic AI drives verification infrastructure while curated chiplet marketplaces begin to form
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    8 m
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