Author's Latest Posts


Beating the Edge AI Power Wall with Low Voltage Foundation IP


Edge AI is pushing the limits of power efficiency as intelligence moves closer to the data source. Designing for ultra-low voltage operation is now essential to achieve optimal performance-per-watt—but it introduces significant complexity in modeling, variation, and design predictability. In this white paper, discover how a unified, silicon-proven Foundation IP platform approach enables relia... » read more

Multiphysics Fusion Technology for Multi-Die Designs Explained


Multiphysics issues are no longer a late-stage problem. Multi-die designs introduce tightly coupled electrical, thermal, electromagnetic, and electromechanical challenges that impact performance and reliability. This eBook shows why multiphysics analysis must move earlier in the design flow, and how a unified approach enables continuous validation from exploration through signoff. What You�... » read more

Scaling PCIe Controllers for AI Bandwidth: A Multistream Architecture Analysis for 64 GT/s and 128 GT/s


Scaling raw lane speed without rethinking controller microarchitecture leads to diminishing returns. It introduces multistream architecture, a controller‑level re‑architecture designed to sustain effective bandwidth under mixed and small‑packet workloads. This paper examines the architectural inflection point at PCIe 6.0, details transmit‑ and receive‑side changes required for multist... » read more

Securing AI at the Silicon Level: Solutions for a Smarter, Safer Future


This white paper explains how Synopsys Security IP embeds hardware‑rooted protection into AI SoCs and chiplets to secure their data and models. It highlights growing AI attack vectors across edge and data‑center environments and shows how technologies like PUF, tRoot HSM, interface security, and PQC create long‑term, silicon‑level trust. Why read this whitepaper: Learn how sili... » read more

Building An AI Chip: Silicon Design And Advanced Packaging


AI has become a key driver for the semiconductor industry as it is applied to ever more aspects of daily life. Many startups and established vendors are designing AI chips to accelerate algorithms and yield the best results. AI designs are large and complex, requiring advanced process nodes and putting stress on every step of the development process. Multi-die, or chiplet-based, design is becom... » read more

Inside the AI Accelerator: Essential IP Design Solutions: eBook


This eBook explores how next‑gen AI accelerators break past single‑chip limits using advanced IP, high‑speed interconnects, memory interfaces, and multi‑die architectures. You’ll see how optical links push bandwidth further and how built‑in security IP keeps AI data protected without slowing performance. What you'll learn: How UALink, PCIe, CXL, and Ultra Ethernet enable sca... » read more

Accelerating Automotive Innovation: SRAM Compiler Breakthroughs for 5nm and 3nm SoCs


Modern automotive SoCs must deliver extreme performance, functional safety, and long‑term reliability — all under growing power and thermal constraints. This white paper explains how next‑generation Synopsys SRAM Compiler IP for TSMC N5A and N3A helps design teams meet these challenges with measurable gains in PPA, reliability, and system robustness. Why Read this White Paper: See... » read more

Building an AI Chip: Security, Software Development, and Lifecycle Management


The third white paper in our series, "Building an AI Chip" delves into the critical aspects of ensuring robust security and efficient software development for AI chips. As AI applications become increasingly integrated into everyday systems, the need for secure and reliable chip designs is paramount. This paper outlines essential strategies for safeguarding AI chip development, optimizing softw... » read more

What Designers Need to Know About UALink for Scalable AI Systems


As AI workloads rapidly scale, interconnect performance, latency, and memory access become critical bottlenecks. This white paper explores how the UALink protocol enables high-speed, low-latency, and secure GPU-to-GPU communication, unlocking scalable AI architectures beyond traditional limits. Key Takeaways: Learn how UALink enables efficient GPU memory pooling at scale Understand U... » read more

Enabling the Industry’s First GPU-Accelerated Manufacturing Platform


Discover how modern chip designs are revolutionizing the lithographic process, driving the need for innovative solutions to meet the industry's demand for shorter design cycles. This whitepaper explores the significant role of GPUs in accelerating computational lithography, offering unprecedented speed-ups for EDA tools in chip development. Learn about the collaborative efforts of Synopsys, NVI... » read more

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