Blog Review: June 26


Cadence's Neelabh Singh examines the Gen4 link recovery mechanism in USB4 Version 2.0, an autonomous process that is initiated by a router when it encounters uncorrectable error events, and identified verification challenges. Synopsys' Gary Ruggles and Priyank Shukla highlight improvements to PCIe 7.0 that will enable secure data transfers and boost bandwidth for the next generation of AI an... » read more

Moving Software-Defined Vehicles Forward


Experts at the Table: The automotive ecosystem is undergoing a transformation toward software-defined vehicles, spurring new architectures with more software. Semiconductor Engineering sat down to discuss the impact of these changes with Suraj Gajendra, vice president of products and solutions in Arm's automotive line of business; Chuck Alpert, R&D automotive fellow at Cadence; Steve Spadon... » read more

Blog Review: June 19


Siemens' John McMillan and Todd Burkholder suggest using an automatic formal-based approach to verifying chiplet package connections early in the design process. Cadence's Veena Parthan explores the intricacies of wind tunnel testing in automotive design and how the collaborative relationship between computational fluid dynamics (CFD) and wind tunnels has resulted in accelerated and more nua... » read more

IC Industry’s Growing Role In Sustainability


The massive power needs of AI systems are putting a spotlight on sustainability in the semiconductor ecosystem. The chip industry needs to be able to produce more efficient and lower-power semiconductors. But demands for increased processing speed are rising with the widespread use of large language models and the overall increase in the amount of data that needs to be processed. Gartner estima... » read more

When To Expect Domain-Specific AI Chips


The chip industry is moving toward domain-specific computation, while artificial intelligence (AI) is moving in the opposite direction, creating a gap that could force significant changes in how chips and systems are architected in the future. Behind this split is the amount of time it takes to design hardware and software. In the 18 months since ChatGPT was launched on the world, there has ... » read more

Big Shift: Creating Automotive SW Without HW


Experts at the Table: The automotive ecosystem is undergoing a transformation toward software-defined vehicles, spurring new architectures with more software. Semiconductor Engineering sat down to discuss the impact of these changes with Suraj Gajendra, vice president of products and solutions in Arm's automotive line of business; Chuck Alpert, R&D automotive fellow at Cadence; Steve Spadon... » read more

Blog Review: June 12


Cadence's Deep Mehta finds that PCIe 6.0 switches need advanced verification strategies that delve deeper than basic functionality, such as generating backpressure traffic to identify potential performance bottlenecks and ensure the switch operates optimally in real-world scenarios. Siemens' Reetika explains why proper management and verification of reset domain crossing (RDC) paths are cruc... » read more

The Uncertainty Of Certifying AI For Automotive


Nearly every new vehicle sold uses AI to make some decisions, but so far there is no consistency in what is being developed, where it is being used, and whether it is compatible with other vehicles on the road. This fragmentation is partially due to the fact that AI is still a nascent technology, and cars and trucks sold today may be significantly different than those that will be sold sever... » read more

Why It’s So Hard To Secure AI Chips


Demand for high-performance chips designed specifically for AI applications is spiking, driven by massive interest in generative AI at the edge and in the data center, but the rapid growth in this sector also is raising concerns about the security of these devices and the data they process. Generative AI — whether it's OpenAI’s ChatGPT, Anthropic’s Claude, or xAI’s Grok — sifts thr... » 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

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