Servers Are Becoming More Heterogeneous


The number of CPUs in a server is growing, and so is the number of vendors that make those processors. CPU server build has been one, two, four, and occasionally more x86 processors, with IBM’s Power and Z series as the major exception. While x86 processors aren't necessarily being replaced, they are being complimented and augmented with new processor designs for a variety of more speciali... » read more

A New Way To Create Structures


Let’s focus today on an established routing technology with a new twist! All of you are doubtless familiar with the concept of structures – formerly called via structures, renamed to structures because of their growing flexibility and application across many flows. These handy, reusable blocks of routing allow you to quickly fan out the most complex of component interfaces. And, after that,... » read more

Using AWS Cloud Services For IC Library Characterization That Is Scalable, Secure, And Fast


Siemens’ AMS Verification team and Amazon Web Services (AWS) have collaborated to provide users with a scalable, secure and cost-effective cloud characterization flow that enables users to leverage cloud computing resources to accelerate library characterization, reduce compute resource bottlenecks, as well as improve characterization runtime predictability. To read more, click here. » read more

Powering The Edge: Driving Optimal Performance With Ethos-N77 Processor


Repurposing a CPU, GPU, or DSP is an easy way to add ML capabilities to an edge device. However, where responsiveness or power efficiency is critical, a dedicated Neural Processing Unit (NPU) may be the best solution. In this paper, we describe how the Arm Ethos-N77 NPU delivers optimal performance. Click here to read more. » read more

Optimizing Power Supply


Any electrical engineer knows providing power to your board is a key feature in PCB design. While most boards can be functional, their true quality shines when the perfect level of power to components is achieved. Building and designing better power supplies is the best way to ensure the end-product has full life-cycle potential. But how do we ensure we can convert a (potentially variable) i... » read more

Data Center Evolution: DDR5 DIMMs Advance Server Performance


Driven by a confluence of megatrends, global data traffic is increasing at an exponential rate. For example, 5G networks are enabling billions of AI-powered IoT devices untethered from wired networks. Nowhere is the impact of all this growth being felt more intensely than in data centers. Indeed, hyperscale data centers have become the critical hubs of the global data network. DDR5 DRAM will en... » read more

Turning Cars Into Mobile Devices: MIPI


Everyone remembers their first car – how you could go where you wanted to go, moving faster and going longer distances – you were mobile. Yes, our cars made us mobile, but today’s cars are becoming mobile devices themselves. More than a means of transportation, cars are evolving into complete mobile devices – connecting and connected to the internet, transportation grids, and to each ot... » read more

Power/Performance Bits: Feb. 8


Transparent sensor Researchers at Osaka University created a thin, flexible, transparent sensor using silver nanowire networks. High-resolution printing was used to fabricate the centimeter-scale cross-aligned silver nanowire arrays, with reproducible feature sizes from 20 to 250 micrometers. As a proof-of-concept for functionality, they used their arrays to detect electrophysiological signals... » read more

Power/Performance Bits: Feb. 2


MXene antennas Researchers at Drexel University and Villanova University developed spray-on antennas made of the 2D materials MXene that is flexible and light while maintaining good signal. "This combination of communications performance with extreme thinness, flexibility and durability sets a new standard for antenna technology," said Yury Gogotsi, professor of Materials Science and Engine... » read more

Power/Performance Bits: Jan. 26


Neural networks on MCUs Researchers at MIT are working to bring neural networks to Internet of Things devices. The team's MCUNet is a system that designs compact neural networks for deep learning on microcontrollers with limited memory and processing power. MCUNet is made up of two components. One is TinyEngine, an inference engine that directs resource management. TinyEngine is optimized t... » read more

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