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

Chip Industry Week In Review


Rapidus and IBM are jointly developing mass production capabilities for chiplet-based advanced packages. The collaboration builds on an existing agreement to develop 2nm process technology. Vanguard and NXP will jointly establish VisionPower Semiconductor Manufacturing Company (VSMC) in Singapore to build a $7.8 billion, 12-inch wafer plant. This is part of a global supply chain shift “Out... » 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

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

Accelerating Speed And Accuracy In Aeroacoustic Predictions


Simulating aeroacoustics is a tedious task that blends the complexities of fluid dynamics with the nuances of acoustic phenomena. This dual-domain challenge is marked by numerous technical obstacles, ranging from the wide range of scales involved to the subtler distinctions of acoustic signals amidst turbulent flows. To navigate these technical difficulties and advance our understanding of aero... » read more

Advancing the Future of Hearing Aids


Hearing, one of the fundamental senses, profoundly affects our ability to communicate, engage with our environment, and maintain connections with others. Despite the long-standing presence of hearing aids in the market, accessibility to essential hearing aids has historically lagged, leaving many individuals isolated due to untreated hearing. According to the World Health Organization (WHO), ov... » read more

Blog Review: June 5


Cadence's Neelabh Singh provides an overview of the low power entry and exit flows in USB4 Version 2.0 link speed and how they have been simplified by making low power entry uni-directional and removing the need for certain handshakes for low power exit of the re-timers. In a podcast, Siemens' Steph Chavez chats with Daniel Beeker of NXP about the foundational importance of power distributio... » read more

Why IC Design Safety Nets Have Limits


Experts at the Table: Semiconductor Engineering sat down to discuss different responsibilities in design teams and future changes in tools with Ashish Darbari, CEO at Axiomise; Ziyad Hanna, corporate vice president R&D at Cadence; Jim Henson, ASIC verification software product manager at Siemens EDA; Dirk Seynhaeve, vice president of business development at Sigasi; Simon Davidmann, formerly... » 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

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