tag: Siemens EDA

Blog Review: April 12
By Jesse Allen - 12 Apr, 2017 - Comments: 0

Cadence's Paul McLellan discusses the legal concerns around autonomous vehicles, emotion-based driver monitoring, and the role of LiDAR, from the CASPA Symposium on Autonomous Driving. The IEEE Design & Test's Magdy Abadir interviews Mentor's Wally Rhines in a discussion ranging from EDA growth and its economics to the increasing complexity of verification. Synopsys' Robert Vamosi exa... » read more

Supporting CPUs Plus FPGAs
By Brian Bailey - 11 Apr, 2017 - Comments: 5

While it has been possible to pair a CPU and FPGA for quite some time, two things have changed recently. First, the industry has reduced the latency of the connection between them and second, we now appear to have the killer app for this combination. Semiconductor Engineering sat down to discuss these changes and the state of the tool chain to support this combination, with Kent Orthner, system... » read more

2.5D, FO-WLP Issues Come Into Focus
By Ann Mutschler - 10 Apr, 2017 - Comments: 2

Advanced packaging is beginning to take off after years of hype, spurred by 2.5D implementations in high-performance markets and fan-out wafer-level packaging for a wide array of applications. There are now more players viewing packaging as another frontier driving innovation. But perhaps a more telling sign is that large foundries in Taiwan have begun offering packaging services to customer... » read more

The Software Side Of Self-Driving
By Ann Mutschler - 06 Apr, 2017 - Comments: 0

Just as the overall system complexity is causing ripples through the automotive supply chain so too is managing the system complexity, with software in particular. With so much new technology, and so many new ideas to keep track of, it would seem a huge undertaking by the automotive OEMs. In the midst of making decisions about the usual incremental improvements, the system architecture decis... » read more

Self-Driving Cars Rattle Supply Chain
By Ann Mutschler - 06 Apr, 2017 - Comments: 0

Automotive compute workloads are consolidating as carmakers push toward autonomous vehicles, but the changes necessary to make this all work are causing huge disruptions in an industry that has fine-tuned its supply chain over more than a century. Consolidation is essential for a variety of reasons, including efficiency of the computations, complexity management, and lower deployment costs. ... » read more

What The Chevy Bolt Really Means For The Electric Vehicle Market
By Brian Derrick - 06 Apr, 2017 - Comments: 0

CES and the North American Auto Show are fading from view. As expected, both events generated media coverage about jockeying among traditional tier 1/2 suppliers and tech companies for supremacy in the new auto supply chain, being turned upside down by the pursuit of autonomous vehicles, electrified powertrains and the like. And while there were some interesting early 2017 announcements (Amazon... » read more

Blog Review: April 5
By Jesse Allen - 05 Apr, 2017 - Comments: 0

In a video, Cadence's Megha Daga digs into the different architectural layers present in convolutional neural networks and how they contribute to object detection and classification in a real world scenario. Mentor's Mike Santarini argues that as things become increasingly connected, the stakes of bad design and bad verification are higher than they've ever been. Synopsys' Robert Vamosi w... » read more

The Great Machine Learning Race
By Ed Sperling - 03 Apr, 2017 - Comments: 2

Processor makers, tools vendors, and packaging houses are racing to position themselves for a role in machine learning, despite the fact that no one is quite sure which architecture is best for this technology or what ultimately will be successful. Rather than dampen investments, the uncertainty is fueling a frenzy. Money is pouring in from all sides. According to a new Moor Insights report,... » read more

Custom Chip Verification Issues Grow
By Ann Mutschler - 29 Mar, 2017 - Comments: 0

With the transition to finFETs, design conditions have grown more intense. They now include a wider PVT range and less headroom. As a result, electronic systems for applications such as mobile, consumer, and automotive increasingly are becoming more difficult to design due to the exacting performance requirements of these applications. This is particularly evident in custom design, including... » read more

Blog Review: March 29
By Jesse Allen - 29 Mar, 2017 - Comments: 0

In a video, Cadence's Megha Daga introduces how convolutional neural networks identify objects and the wide range of applications for the technology. Mentor's Ron Press proposes a way to take advantage of hierarchical DFT features, even if a design wasn't designed for it. Synopsys' Robert Vamosi shares highlights of the RAND Corporation's extensive report examining zero day vulnerabilitie... » read more

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