Challenges In IP Reuse


Jeff Markham, software architect at ClioSoft, explains why IP reuse is so important in advanced process node SoC chip designs, what companies need to keep track of when working with third-party IP, and how it needs to be characterized. » read more

Week In Review: Manufacturing, Test


Chipmakers United Microelectronics Corp. (UMC) has announced the readiness of its new 22nm process. The process enables new 22nm designs or allows customers to migrate from 28nm to 22nm. UMC’s 22nm maintains its existing 28nm design architectures. UMC's 22nm process features a 10% area reduction, better power-to-performance ratio and enhanced RF capabilities, compared to the company’s 2... » read more

Week In Review: Design, Low Power


Cadence signed a deal to buy National Instruments’ AWR business unit for about $160 million in cash, a move that Cadence describes as a way to broaden its market into intelligent system design. AWR’s strength is high-frequency RF design automation tools, particularly in the millimeter wave and microwave spectrums, which are critical for radar and 5G. It also has technology for III-V materia... » read more

Week In Review: IoT, Security, Auto


Internet of Things SiFive is bringing RISC-V to IoT makers and university developers through the RISC-V-based SiFive Learn Initiative, an open-source learning package that can be used to create a low-cost RISC-V hardware compatible with AWS IoT Core. The development platform SiFive Learn Inventor has a software package and education enablement course. It includes: The programmable SiFive Lear... » read more

CXL Vs. CCIX


Kurt Shuler, vice president of marketing at ArterisIP, explains how these two standards differ, which one works best where, and what each was designed for. » read more

Checkmate: Breaking The Memory Wall With Optimal Tensor Rematerialization


Source: Published on arXiv 10/7/ 2019   Paras Jain Ajay Jain Aniruddha Nrusimha Amir Gholami Pieter Abbeel Kurt Keutzer Ion Stoica Joseph E. Gonzalez A recent paper published on arXiv by a team of UC Berkeley researchers notes that neural networks are increasingly impeded by the limited capacity of on-device GPU memory. The UC Berkeley team uses off-the-shel... » read more

Preparing For The Great Auto War


The internal combustion engine's days are numbered, and what comes next is going to cause one of the biggest upheavals in the history of business. Before semiconductors and electronics, it was the auto industry that defined economies of scale. In fact, the auto industry became the model on which the entire electronics industry was built. It always was assumed that the mainframe, minicomputer... » read more

Taking A Closer Look At Side Channel Attacks


In last month’s Semiconductor Engineering article, we explored the basics of side channel attacks (SCAs). As we discussed, all cryptographic algorithms are subject to side channel attacks, with vulnerabilities extending across all platforms and form factors. In this article, we’ll be taking a closer look at the two primary categories of side channel attacks: simple power analysis (SPA) and ... » read more

Where Is The Edge AI Market And Ecosystem Headed?


Until recently, most AI was in datacenters and most was training. Things are changing quickly. Projections are AI sales will grow rapidly to $10s of billions by the mid 2020s, with most of the growth in Edge AI Inference. Edge inference applications Where is the Edge Inference market today? Let’s look at the markets from highest throughput to lowest. Edge Servers Recently Nvidia annou... » read more

Betting On Hydrogen-Powered Cars


The automotive industry is taking another look at hydrogen fuel cells, but how they ultimately fare depends on a combination of consumer demand, automaker investment and infrastructure build-out. Hydrogen fuel cell technology has been steadily advancing over the past six decades since the first practical fuel cell system was demonstrated by Cambridge engineering professor Francis Bacon. The ... » read more

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