The Good And Bad Of Chiplets


The chiplet model continues to gain traction in the market, but there are still some challenges to enable broader support for the technology. AMD, Intel, TSMC, Marvell and a few others have developed or demonstrated devices using chiplets, which is an alternative way to develop an advanced design. Beyond that, however, the adoption of chiplets is limited in the industry due to ecosystem issu... » read more

‘More Than Moore’ Reality Check


The semiconductor industry is embracing multi-die packages as feature scaling hits the limits of physics, but how to get there with the least amount of pain and at the lowest cost is a work in progress. Gaps remain in tooling and methodologies, interconnect standards are still being developed, and there are so many implementations of packaging that the number of choices is often overwhelming. ... » read more

Week In Review: Manufacturing, Test


The coronavirus (COVID-19) continues to have an impact on most, if not all, industries. This includes the electronics, semiconductor and related segments. International Data Corp. (IDC) has released a report on the company’s view on the impact the COVID-19 virus will have on the semiconductor market. The report provides a framework to evaluate the market impact through four scenarios. "... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing — health An injectable biosensor may someday help measure signs of influenza. DARPA (the U.S. Department of Defense’s Defense Advanced Research Projects Agency) and digital health startup Profusa announced a study that uses Profusa’s Lumee Oxygen Platform to find ways to identify flu outbreaks, biological attacks and pandemics as much as three weeks earlier than curre... » read more

Chiplet Momentum Rising


The chiplet model is gaining momentum as an alternative to developing monolithic ASIC designs, which are becoming more complex and expensive at each node. Several companies and industry groups are rallying around the chiplet model, including AMD, Intel and TSMC. In addition, there is a new U.S. Department of Defense (DoD) initiative. The goal is to speed up time to market and reduce the cost... » read more

What Worked, What Didn’t In 2019


2019 has been a tough year for semiconductor companies from a revenue standpoint, especially for memory companies. On the other hand, the EDA industry has seen another robust growth year. A significant portion of this disparity can be attributed to the number of emerging technology areas for semiconductors, none of which has reached volume production yet. Some markets continue to struggle, a... » read more

Week In Review: Manufacturing, Test


Chipmakers In its latest move to cut costs and focus on its core business, GlobalFoundries (GF) has announced plans to jettison its U.S. photomask operations in Burlington, Vt., but the foundry vendor will maintain a stake in its joint venture mask unit. Under the plan, Toppan Photomasks will acquire certain assets of GF’s Burlington photomask facility. “GF is transferring its mask tool... » read more

What’s Next In Advanced Packaging


Packaging houses are readying the next wave of advanced IC packages, hoping to gain a bigger foothold in the race to develop next-generation chip designs. At a recent event, ASE, Leti/STMicroelectronics, TSMC and others described some of their new and advanced IC packaging technologies, which involve various product categories, such as 2.5D, 3D and fan-out. Some new packaging technologies ar... » read more

Week In Review: Design, Low Power


M&A Infineon Technologies will acquire Cypress Semiconductor for $23.85 per share in cash, or $10.1 billion. The deal will place Infineon as the number eight chip manufacturer in the world based on 2018 revenues and create an automotive powerhouse, making the combined company the largest supplier of chips to the automotive market. Infineon sees potential to reach into new industrial and co... » read more

Accelerating Endpoint Inferencing


Chipmakers are getting ready to debut inference chips for endpoint devices, even though the rest of the machine-learning ecosystem has yet to be established. Whatever infrastructure does exist today is mostly in the cloud, on edge-computing gateways, or in company-specific data centers, which most companies continue to use. For example, Tesla has its own data center. So do most major carmake... » read more

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