Redefining Expectations For Test


New and rapidly expanding applications, such as artificial intelligence and automotive, are increasing in design size and complexity. These evolving market segments require unprecedented levels of quality and long-term reliability, which has created a fundamental shift in both the importance and need for integration of advanced semiconductor test. Synopsys unveiled a new family of test products... » read more

Big Shift In Multi-Core Design


Hardware and software engineers have a long history of working independently of each other, but that insular behavior is changing in emerging areas such as AI, machine learning and automotive as the emphasis shifts to the system level. As these new markets consume more semiconductor content, they are having a big impact on the overall design process. The starting point in many of these desig... » read more

Heterogeneous Design Creating Havoc With Firmware Versions


Adding different kinds of processing elements into chips is creating system-level incompatibilities because of sometimes necessary, but usually uncoordinated, firmware updates from multiple vendors. In the past, firmware typically was synchronized with other firmware and the chip was verified and debugged. But this becomes much more difficult when multiple heterogeneous processing elements a... » read more

Auto Reliability At The System Level


Carmakers and chipmakers are approaching autonomous vehicle design from very different perspectives, and while they both talk about safety and reliability as the end goals, they have widely divergent ideas about how to get there. All of this is just beginning to come into focus as carmakers vie for leadership in the autonomous vehicle space, and much of it appears to hinge on the definition ... » read more

Getting A Complete Picture Of Automotive Software


The automotive industry is currently undergoing a major disruption, usually referred as the shift to automated, connected, electric, and shared vehicles (ACES[1]). Naturally, these changes also have a significant impact on the requirements of the hard- and software architectures of these new vehicles: Service-oriented software architectures used by multiple applications running on generali... » read more

The Automation Of AI


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

Week in Review: IoT, Security, Auto


Internet of Things Second-tier cities in the U.S. that can’t attract projects like the Amazon HQ2 are welcoming the testing of autonomous vehicles, smart city technology, and advanced surveillance techniques, this analysis notes. What do they get in return? Much of the time, little or nothing. And bad things can happen. People have been throwing objects at Waymo vehicles in Chandler, Ariz., ... » read more

Week In Review: Design, Low Power


Synopsys announced several new products: a new test family, a physical verification solution, and a software library for neural net SoCs. TestMAX, the new family of test products, includes soft error analysis and X-tolerant logic BIST for automotive test and functional safety requirements. TestMAX enables test through functional high-speed interfaces and supports early validation of DFT logi... » read more

A Different Kind Of Material World


The semiconductor manufacturing world is poised for big change, and the driver will be materials. Materials always have been a critical factor in semiconductors. Silicon is so important that an entire region of California is named after it. Rare earths have raised fears about nationalistic monopolies. And the shift from aluminum to copper interconnects at 130nm caused one of the most painful... » read more

Memory Tradeoffs Intensify in AI, Automotive Applications


The push to do more processing at the edge is putting a strain on memory design, use models and configurations, leading to some complex tradeoffs in designs across a variety of markets. The problem is these architectures are evolving alongside these new markets, and it isn't always clear how data will move across these chips, between devices, and between systems. Chip architectures are becom... » read more

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