Blog Review: Sept. 22


Ansys' Tyler Ferris describes some of the many ways electronics on a PCB assembly can fail, from component level failures like wirebond breaking and liftoff to board-level failures such as conductive anodic filament failure. Cadence's Paul McLellan considers the switch from low-speed parallel interfaces to high-speed serial interfaces as one of the key advancements making modern data centers... » read more

Week In Review: Manufacturing, Test


Packaging and test Advantest and PDF Solutions have launched their first jointly developed offering since forming a partnership in 2020. The new product is called the Advantest Cloud Solutions Dynamic Parametric Test (ACS DPT) solution. It integrates PDF Solutions’ Exensio portfolio of data analytics with Advantest’s V93000 Parametric Test System. The ACS DPT solution is designed to op... » read more

Week In Review: Design, Low Power


MoSys, a provider of SRAM solutions and networking accelerators, and Peraso Technologies, a provider of 5G mmWave devices, are merging. Stockholders of Peraso are expected to hold a 61% equity interest in the combined company, with the remaining 39% equity interest to be retained by the stockholders of MoSys. Peraso CEO Ronald Glibbery said, "By joining with MoSys, we believe we can deliver a b... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive Arm announced a new software architecture, two reference hardware implementations, and its role leading a new industry group that will work on open-source software for automotive use. The Scalable Open Architecture for Embedded Edge (SOAFEE) is based on Arm’s Project Cassini and SystemReady, aims to help the automotive industry move to software-defined systems by tackling the comp... » read more

Blog Review: Sept. 15


Synopsys' Ian Land and Ricardo Borges examine how radiation modeling can help ensure semiconductor components will survive while housed in equipment that is orbiting our planet or traveling through deep space over extensive periods of time. Siemens EDA's Rich Edelman explores why writing coverage is an art requiring imagination, practice, and patience, along with some tips on how to improve.... » read more

Long-Haul Trucking With Fewer Drivers


The trucking industry is betting heavily on increasing levels of autonomy and electrification to reduce the cost of moving goods and to overcome persistent problems. The economics of autonomous driving are compelling, not least of which is an almost perpetual shortage of qualified drivers. But there also are a number of technical hurdles to making this work. On top of the challenges facing t... » read more

Reliable And Efficient Compact Models For Scalable MTJ Simulation


By Fernando García Redondo, Pranay Prabhat, and Mudit Bhargava Since its discovery in 1975, Tunnel-Magneto-Resistance (TMR) has been actively investigated. From the 2000s, advances in process technologies have made the miniaturization of Magnetic Random Access Memories (MRAMs) based on TMR devices possible, together with integration into traditional CMOS processes. Introducing magneti... » read more

Will Monolithic 3D DRAM Happen?


As DRAM scaling slows, the industry will need to look for other ways to keep pushing for more and cheaper bits of memory. The most common way of escaping the limits of planar scaling is to add the third dimension to the architecture. There are two ways to accomplish that. One is in a package, which is already happening. The second is to sale the die into the Z axis, which which has been a to... » read more

Blog Review: Sept. 8


Synopsys' Scott Durrant considers the IP used in HPC SoCs and the efforts to simultaneously minimize data movement and maximize the speed at which data is transferred from one location to another, whether that data transfer is across long distances or from one chip to another within a server. Cadence's Paul McLellan looks into a new version of the Rowhammer DRAM vulnerability that can allow ... » read more

Why TinyML Is Such A Big Deal


While machine-learning (ML) development activity most visibly focuses on high-power solutions in the cloud or medium-powered solutions at the edge, there is another collection of activity aimed at implementing machine learning on severely resource-constrained systems. Known as TinyML, it’s both a concept and an organization — and it has acquired significant momentum over the last year or... » read more

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