Formal Verification’s Usefulness Widens


Formal verification is being deployed more often and in more places in chip designs as the number of possible interactions grows, and as those chips are used in more critical applications. In the past, much of formal verification was focused on whether a chip would function properly. But as designs become more complex and heterogeneous, and as use cases change, formal verification is being u... » read more

Why There Are Still No Commercial 3D-ICs


Building chips in three dimensions is drawing increased attention and investment, but so far there have been no announcements about commercial 3D-IC chips. There are some fundamental problems that must be overcome and new tools that need to be developed. In contrast, the semiconductor industry is becoming fairly comfortable with 2.5D integration, where individual dies are assembled on some k... » read more

EDA Back On Investors’ Radar


EDA is transforming from a staid but strategic sector into a hot investment market, fueled by strong earnings and growth, a clamoring for leading-edge and increasingly customized designs across new and existing markets, and the rollout of advanced technologies such as AI for a range of tools that will be needed to develop new architectures with much greater performance per watt. A confluence... » read more

IC Tool Vendors Eye Cloud-Native Future


The promise of scalability and efficiency is accelerating the migration of electronic design automation (EDA) to the cloud. Unlimited on-demand compute resources fundamentally change the chip design paradigm, where tools and workloads are no longer constrained by localized hardware. This is easier said than done, however. Optimizing existing tools and infrastructure, creating a new generatio... » read more

Shifting Left Using Model-Based Engineering


As heterogenous integration increases design complexity and forces engineers out of long-standing silos, model-based systems engineering (MBSE) is becoming essential for improving quality and reducing failures in the field. While it may seem like a new buzzword, MBSE's principles date back to the 1990s. In essence, it's a process of building models that enable early decisions, which pays off... » read more

Fan-Out Panel-Level Packaging Hurdles


Fan-out panel-level packaging (FOPLP) promises to significantly lower assembly costs over fan-out wafer-level packaging, providing the relevant processes for die placement, molding and redistribution layers (RDLs) formation can be scaled up with equivalent yield. There is still much work to be done before that happens. Until now, FOPLP has been adopted for devices that are manufactured in ve... » read more

Rethinking Memory


Experts at the Table: Semiconductor Engineering sat down to talk about the path forward for memory in increasingly heterogeneous systems, with Frank Ferro, group director, product management at Cadence; Steven Woo, fellow and distinguished inventor at Rambus; Jongsin Yun, memory technologist at Siemens EDA; Randy White, memory solutions program manager at Keysight; and Frank Schirrmeister, vice... » read more

Many More Hurdles In Heterogeneous Integration


Advanced packaging options continue to stack up in the pursuit of “More than Moore” and higher levels of integration. It has become a place where many high-density interconnects converge, and where many new and familiar problems need to be addressed. The industry’s first foray into fine-pitch multi-die packaging utilized silicon interposers with through-silicon vias (TSVs) to deliver s... » read more

Navigating Heat In Advanced Packaging


The integration of multiple heterogeneous dies in a package is pivotal for extending Moore’s Law and enhancing performance, power efficiency, and functionality, but it also is raising significant issues over how to manage the thermal load. Advanced packaging provides a way to pack more features and functions into a device, increasingly by stacking various components vertically rather than ... » read more

3D Integration Supports CIM Versatility And Accuracy


Compute-in-memory (CIM) is gaining attention due to its efficiency in limiting the movement of massive volumes of data, but it's not perfect. CIM modules can help reduce the cost of computation for AI workloads, and they can learn from the highly efficient approaches taken by biological brains. When it comes to versatility, scalability, and accuracy, however, significant tradeoffs are requir... » read more

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