The Challenge Of Keeping AI Systems Current


Semiconductor Engineering sat down to discuss AI and its move to the edge with Steven Woo, vice president of enterprise solutions technology and distinguished inventor at Rambus; Kris Ardis, executive director at Maxim Integrated; Steve Roddy, vice president of Arm's Products Learning Group; and Vinay Mehta, inference technical marketing manager at Flex Logix. What follows are excerpts of that ... » read more

Preparing For A Barrage Of Physical Effects


Advancements in 3D transistors and packaging continue to enable better power and performance in a given footprint, but they also require more attention to physical effects stemming from both increased density and vertical stacking. Even in planar chips developed at 3nm, it will be more difficult to build both thin and thick oxide devices, which will have an impact on everything from power to... » read more

RISC-V Gaining Traction


Part 1: Semiconductor Engineering sat down to discuss where and why RISC-V is doing well, with Zdenek Prikryl, CTO of Codasip; Helena Handschuh, a Rambus Security Technologies fellow; Louie De Luna, director of marketing at Aldec; Shubhodeep Roy Choudhury, CEO of Valtrix Systems; and Bipul Talukdar, North America director of applications engineering at SmartDV. What follows are excerpt of that ... » read more

Memory Access In AI Systems


Memory access is a key consideration in AI system design. Ron Lowman, strategic marketing manager for IP at Synopsys, talks about how memory affects overall power consumption, why partitioning of on-chip and off-chip is so critical to performance and power, and how this changes from the cloud to the edge. » read more

Challenges For A Post-Moore’s Law World


Semiconductor Engineering sat down to discuss challenges at the edge, the impact of open-source, and how to attract new talent, with Simon Segars, CEO of Arm; Joseph Sawicki, executive vice president of IC EDA at Mentor, a Siemens Business; Raik Brinkmann, CEO of OneSpin Solutions; Babak Taheri, CEO of Silvaco; John Kibarian, CEO of PDF Solutions; and Prakash Narain, CEO of Real Intent. The con... » read more

Smaller Nodes, Much Bigger Problems


João Geada, chief technologist at Ansys, sat down with Semiconductor Engineering to talk about device scaling, advanced packaging, increasing complexity and the growing role of AI. What follows are excerpts of that conversation. SE: We've been pushing along Moore's Law for roughly a half-century. What sorts of problems are you seeing now that you didn't see a couple nodes ago? Geada: The... » read more

Rethinking Architectures Based On Power


The newest chips being developed for everything from the cloud to the edge of the network look nothing like designs of even a year or two ago. They are architected for speed, from the throughput of high-speed buses and external interconnects to the customized accelerators and arrays of redundant MACs. But many of these designs have barely scratched the surface for saving power, which will becom... » read more

Power Impact At The Physical Layer Causes Downstream Effects


Data movement is rapidly emerging as one of the top design challenges, and it is being complicated by new chip architectures and physical effects caused by increasing density at advanced nodes and in multi-chip systems. Until the introduction of the latest revs of high-bandwidth memory, as well as GDDR6, memory was considered the next big bottleneck. But other compute bottlenecks have been e... » read more

Challenges For Compute-In-Memory Accelerators


A compute-in-memory (CIM) accelerator does not simply replace conventional logic. It's a lot more complicated than that. Regardless of the memory technology, the accelerator redefines the latency and energy consumption characteristics of the system as a whole. When the accelerator is built from noisy, low-precision computational elements, the situation becomes even more complex. Tzu-Hsian... » read more

3 Challenges In Edge Designs


As companies begin exploring what will be necessary to win at the edge, they are coming up with some daunting challenges. Designing chips for the edge is far different than for the IoT/IIoT. The idea with the IoT was that simple sensors would relay data through a gateway to the cloud, where it would be processed and data could be sent back to the device as needed. That works if it's a small ... » read more

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