Week In Review: Design, Low Power


Synopsys acquired Silicon Frontline Technology, a provider of an electrical layout verification solution for mixed-signal and analog designs, large-scale power semiconductor devices, and electrostatic discharge protection networks. "This acquisition enables Synopsys to extend the capabilities of our design analysis portfolio and help build out a system-level electrical analysis platform. We als... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility Qualcomm signed a definitive agreement to acquire fabless semiconductor company Autotalks, maker of automotive-qualified vehicle-to-everything (V2X) SoCs, processors, sensors, V2X RF transceivers, and other products for use in automatic braking and cooperative perception systems (where a vehicle can see what another vehicle is seeing). Autotalks’ V2X products are dual-m... » read more

Making It Easier To Build Platforms That Support Confidential Computing


With the rise of the cloud, computation has become highly distributed. Workloads can be running on many compute nodes and often span multiple data centers. A workload consists of a combination of code and data, and both are often valuable and sensitive. A data center is often managed by a third-party, such as Cloud Service Provider (CSP), and may reside in a different legal jurisdiction to the ... » read more

Blog Review: May 10


Synopsys' Alessandra Nardi and Uyen Tran explain how to meet quality, reliability, functional safety, and security requirements of automotive chips through thorough test programs, path-margin monitoring, and design failure mode and effect analysis (DFMEA). Cadence's Veena Parthan explores how computational fluid dynamics can help predict and model the generation, propagation, and mitigation ... » read more

Designing Crash-Proof Autonomous Vehicles


Autonomous vehicles keep crashing into things, even though ADAS technology promises to make driving safer because machines can think and react faster than human drivers. Humans rely on seeing and hearing to assess driving conditions. When drivers detect objects in front of the vehicle, the automatic reaction is to slam on the brakes or swerve to avoid them. Quite often drivers cannot react q... » read more

Week In Review: Design, Low Power


Arm advanced its progress toward an initial public offering, confidentially submitting a draft registration statement on Form F-1 to the U.S. Securities and Exchange Commission. The size and price range for the proposed offering have yet to be determined. Graphene IDM Paragraf acquired Cardea Bio, a maker of graphene-based biocompatible chips. Cardea has developed a biosignal processing unit... » read more

Blog Review: May 3


Synopsys' Thomas Andersen considers the requirements of AI-optimized chips that are resulting in exploration of different memory configurations, different types of memory, and different types of processor technologies and software components. Cadence's Girish Vaidyanathan considers the role of hierarchy and partitioning in custom design and looks at how a virtual hierarchy allows layout desi... » read more

Startup Funding: April 2023


Packaging was a hot spot in April, with one of the largest rounds going to a middle-end-of-line advanced packaging company. A second packaging company also drew significant funding for its focus on wafer-level packaging for CMOS image sensors. Two packaging substrate manufacturers also saw investment. Two photoresist makers also drew sizeable rounds. Both they and the packaging companies are... » read more

Improved DSP And AI Performance On An MCU Core


In the world of embedded devices, there's a growing demand for advanced machine learning and signal processing capabilities. ARM Cortex-M85, the latest general-purpose core, aims to meet these demands with its 32-bit Armv8.1-M architecture, offering high performance and power efficiency. The core's Helium technology, M-profile vector extension (MVE), provides significant uplift for ML/DSP appl... » read more

Blog Review: April 26


Codasip's Tora Fridholm introduces the NimbleAI project, an effort to design a neuromorphic sensing and processing 3D integrated chip that implements an always-on sensing stage, highly specialized event-driven processing kernels and neural networks to perform visual inference of selected stimuli using the bare minimum amount of energy. Synopsys' Anjaneya Thakar discusses computational lithog... » read more

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