An automotive wiring harness routes electrical power and signals between various vehicle components. Within this system, PCB-to-wire harness interfaces use connectors to link discrete wiring bundles with board-mounted electronics. This article explores the fundamentals of PCB-to-wire harness interfaces and outlines connector electrical performance requirements across vehicle platforms. It also highlights the importance of mechanical stability, […]
What are the different stages of PCB design, testing, and manufacturing?
A printed circuit board (PCB) provides the mechanical foundation, electrical interconnections, and signal routing for electronic devices and systems (Figure 1). By enabling compact, reliable, and high-performance circuit integration, PCBs support various industrial, medical, and consumer applications in data centers and at the intelligent edge. This article discusses the three pillars of effective PCB design […]
What are the three types of logic level translators (LLTs)?
Logic-level translators (LLTs) are electronic circuits that enable communication between devices operating at different voltage levels, such as 3.3V and 5V. Also known as voltage-level translators or level shifters, LLTs convert signals between incompatible logic standards. This article outlines key LLT specifications and features, reviewing bidirectional, high-to-low, and low-to-high LLTs. It also explores the role […]
How AI and ML optimize functional verification for EDA
Functional verification ensures that the register transfer layer (RTL) implementation of semiconductor designs operates according to specified requirements. Electronic engineers typically perform functional verification using hardware verification languages (HVLs) such as SystemVerilog paired with the universal verification methodology (UVM). Other HVLs, such as VHSIC Hardware Description Language (VHDL) and Property Specification Language (PSL), may be […]
What is formal verification, and why is it important?
Formal verification uses mathematical analysis to ensure semiconductor designs perform as intended. Typically automated, it efficiently identifies critical design errors, such as deadlocks, race conditions, and unreachable states. This article reviews the fundamentals of formal verification in semiconductor design, explores its integration with simulation for comprehensive validation, and highlights strategies for optimizing implementation. Defining formal […]
Empowering innovation: OpenROAD and the future of open-source EDA
Many electronic design automation (EDA) tools remain out of reach for semiconductor startups and research organizations. However, a growing number of open-source EDA solutions are bridging the affordability gap and democratizing advanced chip design. This article discusses how tools like OpenROAD and OpenLane lower entry barriers, reduce development costs, and drive innovation. It also explores how […]
How hardware-assisted verification (HAV) transforms EDA workflows
Many semiconductor companies rely on hardware-assisted verification (HAV) to optimize sophisticated monolithic system-on-chip (SoC) designs and chiplet architectures. HAV streamlines verification and validation by integrating emulation, field-programmable gate array (FPGA) prototyping, and virtual platforms. This approach enables design engineers to efficiently verify individual components and system-wide interactions while validating functionality at granular and system-wide levels. […]
Parasitic extraction in EDA: what it is and why it matters
Parasitic extraction (PEX) in electronic design automation (EDA) calculates parasitic effects — such as capacitances, resistances, and inductance — within integrated circuits (ICs). Parasitics are introduced during the physical manufacturing process in semiconductor foundries, affecting both IC devices and their interconnects (Figure 1). This article explores the three primary categories of parasitic effects, compares field […]
What are the different types of AI accelerators?
Whether in data centers or at the edge, artificial intelligence (AI) accelerators address the limitations of traditional von Neumann architecture by rapidly processing massive datasets. Despite the gradual slowing of Moore’s law, these accelerators efficiently enable key applications such as generative AI (GenAI), deep reinforcement learning (DRL), advanced driver assistance systems (ADAS), smart edge devices, […]
How do generative AI, deep reinforcement learning, and large language models optimize EDA?
Artificial intelligence (AI) and machine learning (ML) are playing an increasingly crucial role in optimizing electronic design automation (EDA) across the semiconductor industry. This article explores the rising complexity and costs of designing chips at advanced nodes. It highlights how generative AI (GenAI) and deep reinforcement learning (DRL) help semiconductor companies accelerate time to market […]
