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Product Improvement Hard Member-only

How might Cadence Design Systems improve its Xcelium Logic Simulation tool to accelerate verification of complex SoCs?

Prepared by NextSprints

15 mins
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Technical Analysis Product Strategy Prioritization Semiconductor Electronic Design Automation High-Performance Computing Performance Optimization Data Management Debugging EDA Tools SoC Verification
Product Management Improvement Question: Enhancing Cadence Xcelium for faster SoC verification and debugging

Introduction

To improve Cadence Design Systems' Xcelium Logic Simulation tool for accelerating verification of complex SoCs, we need to analyze the current product, identify key pain points, and propose innovative solutions. I'll approach this by examining user segments, analyzing pain points, generating solutions, and prioritizing improvements based on impact and feasibility.

Step 1

Clarifying Questions (5 mins)

  • Looking at the product context, I'm thinking Xcelium might be targeting a specific subset of SoC designers. Could you help me understand who the primary users are and their key use cases?

Why it matters: Determines the focus of our improvements and potential feature prioritization. Expected answer: Primarily used by verification engineers and SoC designers in large semiconductor companies. Impact on approach: Would tailor solutions to these specific user groups and their workflows.

  • Considering the complexity of SoC verification, I'm curious about the current performance benchmarks. What are the typical simulation run times for complex SoCs using Xcelium, and how does this compare to competitors?

Why it matters: Helps identify if speed is the primary concern or if other factors are equally important. Expected answer: Xcelium is among the fastest, but run times can still take hours for complex designs. Impact on approach: Would focus on optimization techniques beyond just raw speed if Xcelium is already competitive.

  • Given the rapid advancements in chip design, I'm wondering about the tool's adaptability. How frequently is Xcelium updated to support new design methodologies or emerging technologies like AI accelerators?

Why it matters: Indicates whether we need to focus on core functionality or cutting-edge feature support. Expected answer: Major updates quarterly, with continuous minor releases for urgent support. Impact on approach: Would balance improving existing features with adding support for emerging technologies.

  • Considering the critical nature of verification in chip design, I'm interested in understanding the current pain points. What are the top 3 complaints or feature requests from users regarding Xcelium?

Why it matters: Directly informs our prioritization of improvements. Expected answer: Speed for large designs, ease of debugging, and integration with other tools in the design flow. Impact on approach: Would focus solutions on these specific areas to address user needs directly.

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Updated Jan 22, 2025