Power/Performance Bits: Aug. 14


All-optical logic Researchers from Aalto University developed multifunction all-optical logic gates using a network of nanowires. To build the nanostructure, the team assembled two different semiconductor nanowires, indium phosphide and aluminum gallium arsenide. The nanowires have a unique one-dimensional structure, which allows them to function like nanosized antennas for light. Using ... » read more

AI Architectures Must Change


Using existing architectures for solving machine learning and artificial intelligence problems is becoming impractical. The total energy consumed by AI is rising significantly, and CPUs and GPUs increasingly are looking like the wrong tools for the job. Several roundtables have concluded the best opportunity for significant change happens when there is no legacy IP. Most designs have evolved... » read more

More Performance At The Edge


Shrinking features has been a relatively inexpensive way to improve performance and, at least for the past few decades, to lower power. While device scaling will continue all the way to 3nm and maybe even further, it will happen at a slower pace. Alongside of that scaling, though, there are different approaches on tap to ratchet up performance even with chips developed at older nodes. This i... » read more

Power Reduction In A Constrained World


Back when 40-28nm were new, leakage power for wireless designs dominated the optimization technology focus. This led to multiple VT optimization and power intent management for digital designs to minimize or shut off leakage. As wireless devices moved to FinFET nodes, dynamic power became dominant. As a result, optimization technology focus shifted to build up dynamic techniques to complement y... » read more

High-Performance Memory At Low Cost Per Bit


Hardware developers of deep learning neural networks (DNN) have a universal complaint – they need more and more memory capacity with high performance, low cost and low power. As artificial intelligence (AI) techniques gain wider adoption, their complexity and training requirements also increase. Large and complex DNN models do not fit on the small on-chip SRAM caches near the processor. This ... » read more

Getting Ahead With Early Power Analysis


Today’s mobile applications need to cater to a broad set of applications. They can be communications-heavy (Bluetooth and GPS), graphics-intensive (streaming 4K videos), or compute-intensive workloads (AR/VR gaming). At the heart of this processing lies the all-powerful mobile processor, which includes a multi-core CPU, GPU, memory and other IP and subsystems for performing a variety of ta... » read more

Impact Of IP On AI SoCs


The combination of mathematics and processing capability has set in motion a new generation of technology advancements with an entire new world of possibilities related to Artificial Intelligence. AI mimics human behavior using deep learning algorithms. Neural networks are what we define as deep learning, which is a subset of machine learning, which is yet a subset of AI, as shown in Figure 1. ... » read more

Minimizing The Risk Of Electromagnetic Crosstalk Failures


Leading semiconductor markets, such automotive, machine learning, large scale computing and networking, are driving the need for high density chips that integrate high performance digital cores with sensitive analog/RF IP, while operating at the lowest power and fastest bandwidth possible. These trends are increasing the sensitivity to electromagnetic (EM) coupling, and requiring designers to w... » read more

Chip Aging Becomes Design Problem


Chip aging is a growing problem at advanced nodes, but so far most design teams have not had to deal with it. That will change significantly as new reliability requirements roll out across markets such as automotive, which require a complete analysis of factors that affect aging. Understanding the underlying physics is critical, because it can lead to unexpected results and vulnerabilities. ... » read more

Predictive Maintenance In Tomorrow’s Industries


By Olaf Enge-Rosenblatt and Steven Brandt Tomorrow’s production plants must be efficient and adaptive, which is the key to survival in modern, highly competitive markets brought about by digitalization and automation. Future-oriented companies are increasingly focusing on a tight combination of automation and computer technology as promised by the Industry 4.0 paradigm. More and more globa... » read more

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