Calibre 3DPERC: Your Key To Robust ESD Solutions For 3D ICs


As semiconductor designs move beyond the limits of planar integration, three-dimensional (3D) IC technology introduces new challenges for ESD (electrostatic discharge) protection and verification. In this paper, author Dina Medhat explores how traditional verification methods must evolve for 3D ICs, detailing the crucial differences in pad classification, protection circuit strategies and the i... » read more

Don’t Get Knocked Off the Curve: Fault Injection on Elliptic Curve Cryptosystems


Elliptic Curve Cryptography (ECC) is a core component in securing digital systems, widely used in applications ranging from internet communications to embedded devices. It supports key cryptographic protocols such as the Elliptic Curve Digital Signature Algorithm (ECDSA) and Elliptic Curve Diffie-Hellman (ECDH), both of which rely on the presumed difficulty of underlying mathematical problems. ... » read more

Accelerating High-Lift Aerodynamics: Automated Meshing for CFD Excellence


High-lift aerodynamic prediction plays a crucial role in optimizing aircraft performance during takeoff and landing. Yet, capturing the intricacies of boundary layer separation, wake formation, and vortex interactions remains a formidable challenge in computational fluid dynamics (CFD). Learn how to address these hurdles with advanced, automated mesh generation tailored for high-fidelity simula... » read more

Case Study : Autonomous Driving AI Domain Controller


Ambarella’s CV3-AD655 autonomous driving AI domain controller combines energy-efficient compute with Imagination’s IMG BXM GPU to deliver real-time surround-view visualisation for L2++/L3 vehicles. This case study explores the shift to centralized domain controllers, why Ambarella selected IMG BXM, and how this enables greater driver awareness and system trust. Read more here.   ... » read more

SRAM PUF: A Revolutionary Approach to Cryptographic Key Protection


Cryptographic keys are the cornerstone of secure digital systems, enabling encryption, authentication, and data integrity. However, securely storing these keys on-chip presents significant challenges. Traditional methods, such as storing keys in one-time programmable, non-volatile memory, are vulnerable to physical attacks, environmental variations, and lifecycle management issues. Physical Unc... » read more

Optimizing AI Workloads For Edge Computing


Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss how some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network connectivity issues, reduce cloud computing costs, and ensure privacy. The panel included Frank Ferro, group director in the Silicon Solutions Group at Cadence; Eduardo Montanez, vice president an... » read more

Edge AI Is Starting To Transform Industrial IoT


A slew of wireless and increasingly multi-modal sensors is being targeted at the Industrial Internet of Things (IIoT), setting the stage for significant improvements in efficiency, higher yield, and reduced downtime. Wired IIoT devices, such as smart energy meters and breakers, industrial network gateways, and environmental sensors already are well established in factory settings. They have ... » read more

Integrating Design Verification To Approach Zero Defects


As semiconductor applications in automotive, data center, and high-performance computing grow increasingly mission-critical, the industry faces mounting pressure to achieve near-perfect manufacturing test coverage—often exceeding 99%. Yet, meeting stringent zero-defect defective parts per million (DPPM) targets remains a formidable challenge. Traditional structural testing methods frequently ... » read more

Confidential Computing To Secure AI Workloads


Artificial Intelligence (AI), data analytics, and high-performance computing (HPC) are transforming industries such as healthcare, finance, and manufacturing. These workloads rely on distributed systems managing massive datasets with high reliability. As computational demand grows, so does the need for end-to-end data protection. Traditional security addresses Data at Rest (DAR) and Data in ... » read more

Building And Validating FreeRTOS-Based Virtual ECUs: A Comprehensive Approach


By Markus Stix and Stefan Pruisken For decades, the world of automotive software has been dominated by AUTOSAR Classic – a reliable but heavyweight standard. Recently, however, OEMs and suppliers are increasingly investigating lightweight alternatives like FreeRTOS. Even though FreeRTOS is not an equivalent replacement for AUTOSAR Classic, it brings significant value to the developers of... » read more

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