AI Begins To Reshape Chip Design


Artificial intelligence is beginning to impact semiconductor design as architects begin leveraging its capabilities to improve performance and reduce power, setting the stage for a number of foundational shifts in how chips are developed, manufactured and updated in the future. AI—and machine learning and deep learning subsets—can be used to greatly improve the functional control and pow... » read more

New Opportunities For OTP NVM


By 2020 more than 50 billion devices will be connected to the Internet, according to Cisco’s latest forecast. Smartphone traffic will exceed PC traffic and broadband speeds will nearly double by 2021. And by the next Winter Olympics (Beijing 2022), 1 trillion networked sensors could be embedded in the world around us. While tech experts offer slightly different projections of actual numbers,... » read more

Connected Cars: From Chip To City


As the automotive industry moves closer to autonomous vehicles, ecosystem players are focusing on the infrastructure pieces needed to make autonomous technology a reality for the first adopters, which are most likely commercial fleets. Vehicle-to-infrastructure (V2I or v2i) is a communications model that allows vehicles to share information with the components that support a country's hi... » read more

Ethernet TSN for Automotive ADAS Applications


The new age of automotive electronic systems has decreased accidents and fatalities. Improving Advanced Driver Assistance Systems (ADAS) for safety-critical automotive applications is the next wave and requires a huge amount of data transmission and subsequent processing. Systems are becoming more sophisticated as they combine ADAS applications from emergency braking, collision avoidance, lane ... » read more

Blog Review: Oct. 31


Mentor's Joe Hupcey III digs into handling memories effectively with formal through abstraction and the easiest ways to address memory-related inconclusive results. Cadence's Paul McLellan explains DARPA's CHIPS program that aims to lower semiconductor design costs through chiplet-based designs, the current status of the work, and what the next steps will be. Synopsys' Sangeeta Kulkarni c... » read more

The Impact of Domain Crossing on Safety


Semiconductor Engineering sat down to discuss problems associated with domain crossings with Alex Gnusin, design verification technologist for Aldec; Pete Hardee, director, product management for Cadence; Joe Hupcey, product manager and verification product technologist for Mentor, a Siemens Business; Sven Beyer, product manager design verification for OneSpin; and Godwin Maben, applications en... » read more

Week In Review: Design, Low Power


Tools OneSpin launched a formal verification tool that integrates with all major simulators, coverage databases and viewers, and chip design verification planning tools to provide a comprehensive view of verification progress. Comprised of two new formal apps, it can identify unreachable coverage points and provide them to the simulator to reduce wasted effort. Synopsys released the latest ... » read more

Week in Review: IoT, Security, Auto


Internet of Things Arm aims to accelerate Linux-based embedded design through providing quick access to the Cortex-A5 CPU under the Arm DesignStart program. Developers can work on embedded and Internet of Things system-on-a-chip devices for gateways, medical systems, smart homes, and wearable electronics. IP access to the Cortex-A5 is now $75,000, with one-year of design support from Arm exper... » read more

The Race To Design Larger Systems


For more than a decade, tools vendors and design houses have been talking about leveraging their tools and expertise to help design systems of systems. They're finally getting their chance. The basic idea behind this strategy has always been that issues inside any electronic system—performance, power, signal integrity, area—have all been dealt all the way down to the sub-atomic level in ... » read more

What Makes A Good AI Accelerator


The rapid growth and dynamic nature of AI and machine learning algorithms is sparking a rush to develop accelerators that can be optimized for different types of data. Where one general-purpose processor was considered sufficient in the past, there are now dozens vying for a slice of the market. As with any optimized system, architecting an accelerator — which is now the main processing en... » read more

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