Promises And Pitfalls Of SoC Restructuring


As chips become more complex and increasingly heterogeneous, it's becoming more difficult to keep track of different methodologies, tools, and blend data from different sources to create a chip. Tim Schneider, staff application engineer at Arteris, explains why IP-XACT has become so critical, why it took so long to gain a solid foothold in chip design, and how the new IP-XACT standard interface... » read more

Toward A Software-Defined Hardware World


Software-defined hardware may be the ultimate Shift Left approach as chip design grows closer to true co-design than ever with potential capacity baked into the hardware, and greater functionality delivered over the air or via a software update. This marks another advance in the quest for lower power, one that’s so revolutionary that it’s upending traditional ideas about model-based systems... » read more

Chip Design Digs Deeper Into AI


Growing demand for blazing fast and extremely dense multi-chiplet systems are pushing chip design deeper into AI, which increasingly is viewed as the best solution for sifting through scores of possible configurations, constraints, and variables in the least amount of time. This shift has broad implications for the future of chip design. In the past, collaborations typically involved the chi... » read more

RISC-V Heralds New Era Of Cooperation


RISC-V is paving the way for open source to become accepted within the hardware community, creating a level of industry collaboration never seen in the past, while revitalizing the connection between academia and industry. The big question is whether this arrangement is just a placeholder while the industry re-learns how to develop processors, or whether this processor architecture is someth... » read more

Turbocharging Cost-Conscious SoCs With Cache


Some design teams creating system-on-chip (SoC) devices are fortunate to work with the latest and greatest technology nodes coupled with a largely unconstrained budget for acquiring intellectual property (IP) blocks from trusted third-party vendors. However, many engineers are not so privileged. For every “spare no expense” project, there are a thousand “do the best you can with a limited... » read more

AI For Data Management


Data management is becoming a significant new challenge for the chip industry, as well as a brand new opportunity, as the amount of data collected at every step of design through manufacturing continues to grow. Exacerbating the problem is the rising complexity of designs, many of which are highly customized and domain-specific at the leading edge, as well as increasing demands for reliabili... » read more

Chip Industry Week In Review


Absolics, an affiliate of Korea materials company SKC, will receive up to $75 million in direct funding under the U.S. CHIPS Act for the construction of a 120,000 square-foot facility in Covington, Georgia, for glass substrates in advanced packaging. imec will host a €2.5 billion (~$2.72B) pilot line for researching chips beyond 2nm, partially funded through the EU Chips Act. imec CEO Luc ... » read more

Will Domain-Specific ICs Become Ubiquitous?


Questions are surfacing for all types of design, ranging from small microcontrollers to leading-edge chips, over whether domain-specific design will become ubiquitous, or whether it will fall into the historic pattern of customization first, followed by lower-cost, general-purpose components. Custom hardware always has been a double-edged sword. It can provide a competitive edge for chipmake... » read more

Multi-Die Design Pushes Complexity To The Max


Multi-die/multi-chiplet design has thrown a wrench into the ability to manage design complexity, driving up costs per transistor, straining market windows, and sending the entire chip industry scrambling for new tools and methodologies. For multiple decades, the entire semiconductor design ecosystem — from EDA and IP providers to foundries and equipment makers — has evolved with the assu... » read more

Dealing With AI/ML Uncertainty


Despite their widespread popularity, large language models (LLMs) have several well-known design issues, the most notorious being hallucinations, in which an LLM tries to pass off its statistics-based concoctions as real-world facts. Hallucinations are examples of a fundamental, underlying issue with LLMs. The inner workings of LLMs, as well as other deep neural nets (DNNs), are only partly kno... » read more

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