Revolutionizing High-Performance Silicon With Next-Gen Chiplets


By Shivi Arora and Sue Hung Fung As 5G wireless communications systems continue to be deployed, enterprises are busy planning for 6G—the next generation of wireless communications set to transform our lives. Poised to merge communication and computing, 6G promises to create a hyperconnected world that blends digital and physical experiences with ultra-fast speeds and low latency as a start... » read more

Blog Review: Oct. 30


Synopsys' Frank Schirrmeister argues that hardware-assisted verification techniques like emulation and prototyping are essential to help engineers improve design behavior to manage complexity and ensure systems function seamlessly in real-world applications. Siemens’ Stephen V. Chavez finds that ultra high-density interconnect (UHDI) has changed the design and production of PCBs to enable ... » read more

Chip Industry Week In Review


Europe's top court ruled in Intel's favor, voiding a $1.1 billion fine imposed by the European Union and dismissing charges of anti-competitive behavior. IBM released yield benchmarks for high-NA EUV, which serve as proof points that the newest advanced litho equipment will enable scaling beyond the 2nm process node. Also on the lithography front, Nikon is developing a maskless digital litho... » read more

Blog Review: Oct. 23


Cadence’s Sanjeet Kumar introduces the message bus interface in the PHY Interface for the PCIe, SATA, USB, DisplayPort, and USB4 Architectures (PIPE) specification, which provides a way to initiate and participate in non-latency-sensitive PIPE operations using a small number of wires. Siemens’ Dennis Brophy argues that the recently published Portable Test and Stimulus Standard (PSS) 3.0 ... » read more

Chip Industry Week In Review


Arm joined forces with Korea's Samsung Foundry, ADTechnology, and Rebellions to create a CPU chiplet platform for AI training and inference. The new chiplet will be based on Samsung's 2nm gate-all-around technology. Intel and AMD, arch competitors for decades, formed an x86 ecosystem advisory group to collaborate on architectural interoperability and simplify software development. Samsung... » read more

Real-Time Low Light Video Enhancement Using Neural Networks On Mobile


Video conferencing is a ubiquitous tool for communication, especially for remote work and social interactions. However, it is not always a straightforward plug and play experience, as adjustments may be needed to ensure a good audio and video setup. Lighting is one such factor that can be tricky to get right. A nicely illuminated video feed looks presentable in a meeting, but on the other hand,... » read more

Mass Customization For AI Inference


Rising complexity in AI models and an explosion in the number and variety of networks is leaving chipmakers torn between fixed-function acceleration and more programmable accelerators, and creating some novel approaches that include some of both. By all accounts, a general-purpose approach to AI processing is not meeting the grade. General-purpose processors are exactly that. They're not des... » read more

Complete Migration Guide for Arm-Based Cloud Workloads


Learn in three steps how to migrate your self-managed workloads to Arm virtual machines for superior price performance and energy efficiency across a wide range of applications. This guide covers the most common scenarios and provides links to additional resources. You will learn how to: -Plan your transition, survey your software stack, and understand your software dependencies. -Test, ... » read more

Chip Industry Week In Review


Imec announced a new automotive chiplet consortium to evaluate which different architectures and packaging technologies are best for automotive applications. Initial members includes Arm, ASE, Cadence, Siemens, Synopsys, Bosch, BMW, Tenstorrent, Valeo, and SiliconAuto. Imec also launched star, a global network bringing together automotive and semiconductor innovators to address technological c... » read more

The Cost Of EDA Data Storage And Processing Efficiency


Engineering teams are turning to the cloud to process and store increasing amounts of EDA data, but while the compute resources in hyperscale data centers are virtually unlimited, the move can add costs, slow access to data, and raise new concerns about sustainability. For complex chip designs, the elasticity of the cloud is a huge bonus. With advanced-node chips and packaging, the amount of... » read more

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