Week In Review: Auto, Security, Pervasive Computing


Intel issued an advisory of a potential security vulnerability in some of its processors. The company recommends updating to the latest firmware version. NVIDIA unveiled its GH200 Grace Hopper platform, based on 144 Arm Neoverse cores and 282GB of HBM3e memory. Meanwhile, Chinese internet companies including Baidu, ByteDance, Tencent, and Alibaba ordered about $5 billion worth of A800 proces... » read more

Week In Review: Design, Low Power


U.S. President Joe Biden issued an executive order to restrict U.S. investment in Chinese companies, targeting semiconductors and microelectronics, quantum information technologies, and artificial intelligence systems with military or intelligence applications. Specific technologies within these groups will be defined later. Some will only require investors to notify the Department of the Tre... » read more

A Performance-Aware Framework For Co-Optimizing Floorplan And Performance Of Chiplet-Based Architecture


A technical paper titled “Floorplet: Performance-aware Floorplan Framework for Chiplet Integration” was published by researchers at Chinese University of Hong Kong and University of California Berkeley. Abstract: "A chiplet is an integrated circuit that encompasses a well-defined subset of an overall system's functionality. In contrast to traditional monolithic system-on-chips (SoCs),... » read more

Modeling Optical Loss And Crosstalk Noise For Silicon-Photonic-Based Neural Networks Of Different Scales 


A technical paper titled “Analysis of Optical Loss and Crosstalk Noise in MZI-based Coherent Photonic Neural Networks" was published by researchers at Colorado State University (Fort Collins), NVIDIA, and Arizona State University. Abstract: "With the continuous increase in the size and complexity of machine learning models, the need for specialized hardware to efficiently run such model... » read more

Processor Tradeoffs For AI Workloads


AI is forcing fundamental shifts in chips used in data centers and in the tools used to design them, but it also is creating gaps between the speed at which that technology advances and the demands from customers. These shifts started gradually, but they have accelerated and multiplied over the past year with the rollout of ChatGPT and other large language models. There is suddenly much more... » read more

Virtual Development Of Perception Sensor Systems


By Ron Martin and Christoph Sohrmann Over the past few years, there has been a marked expansion in research and development activities related to driver assistance systems as well as highly automated and connected driving systems. However, this has yet to translate into a higher degree of automation in the average production vehicle – especially for SAE Level 3 and above. The next step in ... » read more

Specialization Vs. Generalization In Processors


Academia has been looking at specialization for many years, but solutions were rejected because general-purpose solutions were advancing fast enough to keep up with most application requirements. That is no longer the case. The introduction and support of the RISC-V processor architecture has attracted a lot of attention, but whether that is the right direction for the majority of modern comput... » read more

Using A Retimer To Extend Reach For PCIe 6.0 Designs


One of the biggest changes that came with PCIe 6.0 was the transition from non-return-to-zero (NRZ) signaling to PAM4 signaling. Pulse Amplitude Modulation (PAM) enables more bits to be transmitted at the same time on a serial channel. In PCIe 6.0, this translates to 2 bits per clock cycle for 4 amplitude levels (00, 01, 10, 11) vs. PCIe 5.0, and earlier generations, which used NRZ with 1 bit p... » read more

MRAM Getting More Attention At Smallest Nodes


Magneto-resistive RAM (MRAM) appears to be gaining traction at the most advanced nodes, in part because of recent improvements in the memory itself and in part because new markets require solutions for which MRAM may be uniquely qualified. There are still plenty of skeptics when it comes to MRAM, and lots of potential competitors. That has limited MRAM to a niche role over the past couple de... » read more

Developing Energy-Efficient AI Accelerators For Intelligent Edge Computing And Data Centers


Artificial intelligence (AI) accelerators are deployed in data centers and at the edge to overcome conventional von Neumann bottlenecks by rapidly processing petabytes of information. Even as Moore’s law slows, AI accelerators continue to efficiently enable key applications that many of us increasingly rely on, from ChatGPT and advanced driver assistance systems (ADAS) to smart edge device... » read more

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