Flash Getting Stacked High-Bandwidth Version


Key takeaways: A new HBF 3D flash stack is similar to HBM for use in AI processing. HBF capacity will be much higher, allowing static storage of AI model weights, with optimized read speed. Samples are due out later this year, with accelerators featuring it coming out next year. AI inference using modern models requires billions of parameters, and moving them to where they c... » read more

Gates Add Functionality, But Wires Create Problems


Key takeaways: While transistors see continuous improvement, wires keep getting worse because of the smaller geometries and larger chip sizes. There are limited ways to avoid such problems, but the biggest impact will come from floorplanning. Analysis today is not adequate. New developments, such as backside power and 3D integration, provide temporary relief but new materials are a d... » 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

Blog Review: May 13


Siemens' Loay Hegazy, Mohamed Taher, and Sherif Hammouda describe a GPU rasterizer designed specifically for computational lithography and present benchmark results and practical implications for mask synthesis workflows. Cadence's Udaya Shankar introduces RTL, logic, and physical restructuring techniques and how they can help improve PPA, reduce dynamic power consumption, and optimize place... » read more

Supporting Safety Requirements from RTL Exploration Through Implementation in Semiconductor Devices (Politecnico di Torino, Synopsys)


A new technical paper, "Early Functional Safety and PPA evaluation for faster digital design development," was published by researchers at Politecnico di Torino and Synopsys. Abstract "The use of semiconductor devices in safety-critical applications is increasing in both volume and complexity. Applications in markets such as automotive, data centers, and aerospace have dependability requi... » read more

Complete End-To-End Closed-Loop Product Yield Ramp And Learning


By Guy Cortez and Maheshwaran Jothi Yield ramp has always been a concern in semiconductor manufacturing: systems companies need confidence that devices meet quality targets before shipment, and chipmakers need to reach yield entitlement quickly to control cost and supply. While this has never been easy, advanced nodes are raising the bar again. First, designs are larger and more heterogen... » read more

AI Accelerator Testing Depends On DFT Innovations


Key Takeaways: I/O and lane repair capabilities are becoming critical to improving yield. System-level testing catches marginal defects and rare defects such as silent data corruption errors. Synopsys and TSMC developed a multi-die demo vehicle capable of full test, monitor, debug, and repair capability across the system’s lifecycle. The proliferation of accelerators in AI... » read more

HBM Shifts Testing Left To Preserve AI Chip Yield


Key Takeaways: A high-yield, known-good stack requires multiple test insertions. Known good stack testing poses challenges for power delivery and thermal management. The shift to HBM4 and HBM5 will increase the pressure for shift-left test flows. Taller high-bandwidth memory (HBM) stacks and tighter TSV pitch are impacting AI module yields. The solution is to push test furth... » read more

The Emergence Of Electronics Digital Twins For Software-Defined Vehicles


Digital twins have long played a critical role in engineering and manufacturing. As virtual representations of physical products, systems, and processes, they help organizations innovate faster, improve quality, and reduce costs. Early digital twin technologies were primarily rooted in the physical world, modeling mechanical systems such as engines, buildings, and factory operations to simulate... » read more

Building AI Without Guardrails


Key Takeaways: AI governance is broadly recognized as essential, but today it remains fragmented, largely aspirational, and lacking enforceable mechanisms for accountability, runtime assurance, and global interoperability. Because AI innovation is advancing too quickly for governments or standards bodies to keep pace, practical AI governance is most likely to emerge first from high‑ri... » read more

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