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

How Is The Chip Industry Really Doing?


Throughout 2023, the general consensus among chip industry watchers was that IC sales were flat to down, fueled by market saturation for smart phones and PCs and excess inventory and capacity in DRAM and flash. But that doesn't tell the whole story, which is becoming highly nuanced and complicated. Unlike in the past, understanding how the chip industry is faring is no longer a simple math f... » read more

Chip Industry Silos Are Crimping Advances


Change is never easy, but it is more difficult when it involves organizational restructuring. The pace of such restructuring has been increasing over the past decade, and often it is more difficult to incorporate than technological advancements. This is due to the siloed nature of the semiconductor industry, both within the industry itself, and its relationship to surrounding industries. Inc... » read more

The Evolution Of Generative AI Up To The Model-Driven Era


Generative AI has become a buzzword in 2023 with the explosive proliferation of ChatGPT and large language models (LLMs). This brought about a debate about which is trained on the largest number of parameters. It also expanded awareness of the broader training of models for specific applications. Therefore, it is unsurprising that an association has developed between the term “Generative AI�... » read more

The Good Old Days Of EDA


Nostalgia is wonderful, but there is something about being involved in the formative years of an industry. Few people ever get to experience it, and it was probably one of the most fortuitous events to have happened in my life. Back in the early '80s, little in the way of design automation existed. There were a few gate- and transistor-level simulators, primarily for test and a few 'calculators... » read more

Artificial Intelligence Wonderland


Silicon Catalyst held its Sixth Annual Semiconductor Forum in Menlo Park on the SRI campus on November 9th. Richard Curtin, Managing Partner for Si Catalyst, opened the event with a reference to Arthur C. Clarke’s "2001: A Space Odyssey" and noted how remarkable it was that a novel written back in 1968 was able to foretell the direction of the computer industry over 50 years into the future. ... » read more

Improving AI Productivity With AI


AI is showing up or proposed for nearly all aspects of chip design, but it also can be used to improve the performance of AI chips and to make engineers more productive earlier in the design process. Matt Graham, product management group director at Cadence, talks with Semiconductor Engineering about the role of AI in identifying patterns that are too complex for the human brain to grasp, how t... » read more

What Can Go Wrong In Heterogeneous Integration


Experts at the Table: Semiconductor Engineering sat down to discuss heterogeneous integration with Dick Otte, president and CEO of Promex Industries; Mike Kelly, vice president of chiplets/FCBGA integration at Amkor Technology; Shekhar Kapoor, senior director of product management at Synopsys; John Park, product management group director in Cadence's Custom IC & PCB Group; and Tony Mastroia... » read more

Is Your Voltage Drop Flow Obsolete?


Voltage drop at advanced nodes is a deadly serious problem that has become unmanageable with the methodologies used by most chip designers today. This article will cover the reasons why power integrity has risen to a top-of-mind concern and why it has become almost impossible for today’s EDA tools to measure and fix it. We will then look at some radical methodology rethinking that is needed t... » read more

Applications Of Large Language Models For Industrial Chip Design (NVIDIA)


A technical paper titled “ChipNeMo: Domain-Adapted LLMs for Chip Design” was published by researchers at NVIDIA. Abstract: "ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, we instead adopt the following domain adaptation techniques: custom tokenizers, domain-ad... » read more

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