Multi-Die Archives

EDN: How data movement defines performance for AI silicon

This article explores how AI chip performance is increasingly constrained by data movement rather than raw compute power, highlighting the growing role of network-on-chip (NoC) architectures, chiplets, cache hierarchies, and physically aware design in modern AI SoCs. Learn more about

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Chiplets 101: An Arteris Guide to Multi-Die Architecture

View our guide to chiplets and multi-die architecture, explaining interconnect, data movement, memory, and design strategies for scalable high-performance SoC systems.

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Design & Reuse: Topology and Data Movement in Multi-Die Design

This article explores how multi-die design shifts the primary challenge from scaling silicon to managing data movement and system integration across chiplets. It highlights the critical role of NoC topology in controlling traffic, latency, and coherency between dies, as well

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The 5 Biggest Challenges in Modern SoC Design (And How to Solve Them)

Modern system-on-chip (SoC) performance is no longer compute-bound. It is increasingly data-movement–bound and wire-limited.

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Semiconductor Engineering: Importance Of Hardware Security Verification In Pre-Silicon Design

Security in modern semiconductor design must be built in from the start, not validated after the fact. This article explains how pre-silicon hardware security verification relies on two key pillars — functional verification to ensure security features behave correctly, and

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EDN: Chiplet innovation isn’t waiting for perfect standards

As monolithic SoCs reach their limits, chiplets offer a more scalable and cost-effective path forward. Despite incomplete standards, companies are moving ahead using modular design and flexible interconnects, with Arteris highlighting the role of NoC IP and automation in enabling

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Semiconductor Engineering: AI Energy Gap and Chiplets: Why Data Movement Matters

At the panel discussion at Chiplet Summit 2026, where Arteris was among the experts, participants emphasized that efficient AI chiplets require more than fast physical links like UCIe—they demand smart, system-level architecture around data movement, coherency, and protocol choice. As

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Electronic Design: Bridging the Gap to Chiplet Interoperability

This article examines the gap between today’s tightly managed multi-die implementations and the long-term vision of true multi-vendor chiplet interoperability. It explains how companies are deploying homogeneous and heterogeneous architectures, why proprietary flows still limit plug-and-play integration, and how standards

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EE Times: The Data Dilemma: Cracking the Code of Data Movement for the Next Wave of Semiconductor Innovation

As semiconductor architectures scale toward chiplets, multi-die SoCs, and AI-driven workloads, data movement—not raw compute—has emerged as the primary limiter of performance, power, and scalability. The article argues that network-on-chip fabrics are becoming the true center of gravity in modern

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2026 Predictions: System-Level Design, AI-Native Workflows, and the Rise of Multi-Die Compute Fabrics

Explore 2026 semiconductor predictions as AI accelerates system-level design, multi-die compute fabrics, chiplets, 2.5D/3D integration, and AI-native architecture workflows reshape how advanced systems are built and verified.

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