Shifting Toward Data-Driven Chip Architectures


An explosion in data is forcing chipmakers to rethink where to process data, which are the best types of processors and memories for different types of data, and how to structure, partition and prioritize the movement of raw and processed data. New chips from systems companies such as Google, Facebook, Alibaba, and IBM all incorporate this approach. So do those developed by vendors like Appl... » read more

Blog Review: June 16


Arm's Adrian Herrera explores the latest version of AMBA ATP Engine, an open-source implementation of the AMBA Adaptive Traffic Profiles (ATP) synthetic traffic framework specification, which adds the ability to program AMBA ATP traffic generation from Linux environments. Cadence's Paul McLellan finds out just how effective glitching chips is by delivering incorrect voltages and clock freque... » read more

How To Improve Software? Start With The Hardware


By Travis Walton and Udi Maor Physicist Art Rosenfeld was working late at Lawrence Berkeley National Lab one night in 1973 when he noticed it. Despite an ongoing energy crisis, his colleagues routinely left their lights on after they left. Waste was one of the largest consumers of power in the state, he soon discovered: pilot lights consumed 10% of gas in homes. Switching from physics to ... » read more

Thermal Floorplanning For Chips


Heat management is becoming crucial to an increasing number of chips, and it's one of a growing number of interconnected factors that must be considered throughout the entire development flow. At the same time, design requirements are exacerbating thermal problems. Those designs either have to increase margins or become more intelligent about the way heat is generated, distributed, and dissi... » read more

Customizing Chips For Power And Performance


Sandro Cerato, senior vice president and CTO of the Power & Sensor Systems Business Unit at Infineon Technologies, sat down with Semiconductor Engineering to talk about fundamental shifts in chip design with the rollout of the edge, AI, and more customized solutions. What follows are excerpts of that conversation. SE: The chip market is starting to fall into three distinct buckets, the e... » read more

Blog Review: Jun 9


Arm's Partha Maji introduces a collaboration with the University of Cambridge to advance Bayesian statistics and probabilistic machine learning, which could play a vital role in safety-critical AI applications. Siemens' Thomas Dewey looks at a way to improve autonomous driving capabilities by enabling vehicles to train on past hazardous situations to provide and early warning for when they m... » read more

Week In Review: Design, Low Power


Siemens Digital Industries Software acquired Nextflow Software, a provider of advanced particle-based computational fluid dynamics (CFD) solutions. Nextflow Software will become part of the Simcenter software portfolio, providing rapid meshless CFD capabilities to accelerate the analysis of complex transient applications in the automotive, aerospace, and marine industries such as gear box lubri... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing — IoT, edge, cloud, data center, and back To simplify IoT workflows, Arm announced that it is putting parts of its Common Microcontroller Software Interface Standard (CMSIS) into an open project called Open-CMSIS-Pack. The CMSIS is a vendor-independent abstraction layer for MCUs, especially Arm Cortex-M processors, that makes it possible for developers to deal with softwa... » read more

The Case For FPGAs In Cars


Field-programmable gate arrays (FPGAs) thrive in rapidly evolving new markets before being replaced by hard-wired ASICs, but in automotive that crossover is likely to happen significantly later than in the past. Historically, FPGAs have held temporary positions until volumes increased enough to cost-reduce the FPGAs out in favor of a hardened version. With automobiles, there are so many chan... » read more

Achieving Embedded Design Simplicity With Kria SOMs


Xilinx Kria System-on-Modules (SOMs) provide a secure and production-ready multicore Arm processing and FPGA platform, including memories, power management, and your choice of a Yocto or Ubuntu Linux infrastructure to build accelerated AI-enabled applications at the edge. Kria accelerated apps offer an industry-first shortcut that enable both new and experienced Xilinx designers to skip doing a... » read more

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