Week In Review: Manufacturing, Test


Chipmakers and OEMs NXP has announced the grand opening of its 150mm (6-inch) RF gallium nitride (GaN) fab in Chandler, Ariz. This is said to be the most advanced fab dedicated to 5G RF power amplifiers in the United States. NXP’s new Chandler-based GaN fab is qualified now, with initial products ramping in the market and expected to reach full capacity by the end of 2020. GaN, a III-V techn... » read more

Week In Review: Design, Low Power


Arteris IP will acquire the assets of Magillem Design Services, combining Arteris' NoC interconnect IP with Magillem's chip design and assembly environment. Magillem’s software products will continue to be offered separately from the Arteris interconnect IP offerings and the joined company will continue to execute on Magillem’s existing product and technology roadmaps. Substantially all Mag... » read more

Week In Review: Auto, Security, Pervasive Computing


Security Synopsys’ Cybersecurity Research Center disclosed that its research resulted in three Common Vulnerability and Exposures (CVE) advisories on wireless router chipsets that have partial authentication bypass vulnerabilities. The vulnerability lets an attacker send an unencrypted data frame through a WPA2-protected WLAN, which will may respond with an encrypted data frame that the atta... » read more

Blog Review: Sept. 30


Synopsys' Fred Bals takes a look open source projects that, while popular, go understaffed or underfunded, how that can lead to potential security vulnerabilities, and why users who rely on them should consider stepping up to contribute. In a video, Mentor's Colin Walls explains the basic concepts of multicore systems as it relates to embedded programming. Cadence's Paul McLellan ponders ... » read more

Security At The Edge


Semiconductor Engineering sat down to discuss security at the edge with Steven Woo, vice president of enterprise solutions technology and distinguished inventor at Rambus, Kris Ardis, executive director at Maxim Integrated; and Steve Roddy, vice president of Arm's Products Learning Group. What follows are excerpts of that conversation. To view part one of this discussion, click here. Part two i... » read more

Deals That Change The Chip Industry


Nvidia's pending $40 billion acquisition of Arm is expected to have a big impact on the chip world, but it will take years before the effects of this deal are fully understood. More such deals are expected over the next couple of years due to several factors — there is a fresh supply of startups with innovative technology, interest rates are low, and market caps and stock prices of buyers ... » read more

The Next Wave Of Consolidation


End markets and technologies are changing, stock prices are up, and interest rates are down. Those are the necessary ingredients for acquisition binging. So why isn't much happening? The answer is that more industry consolidation is ahead, but it's all happening more slowly than the economics would suggest. Some of the reasons are obvious, others less so. The big delay is the COVID-19 pa... » read more

Week In Review: Design, Low Power


Tools & IP Arm added two new platforms to its product roadmap: the Neoverse V1, and the Neoverse N2, the second-generation N-series platform. The V1 platform supports Scalable Vector Extensions (SVE), provides 50% better single-threaded performance over N1, and targets high-performance cloud, HPC, and machine learning applications. The N2 provides 40% higher single-threaded performance com... » read more

Have Processor Counts Stalled?


Survey data suggests that additional microprocessor cores are not being added into SoCs, but you have to dig into the numbers to find out what is really going on. The reasons are complicated. They include everything from software programming models to market shifts and new use cases. So while the survey numbers appear to be flat, market and technology dynamics could have a big impact in resh... » read more

Blog Review: Sept. 23


Arm's Matthew Mattina introduces a method to reduce the cost of neural network inference by combining both low-precision representation and the complexity-reducing Winograd transform while maintaining accuracy. Cadence's Paul McLellan checks out some of the biggest machine learning systems from Nvidia, Google, and Cerebras that were presented at the recent Hot Chips. Mentor's Robin Bornof... » read more

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