Rethinking Verification For Cars

New tools, approaches, and methodologies are in various stages of development and deployment under the umbrella of functional safety, as more electronics find their way into cars, medical devices and industrial applications. As shown in part one, verification needs to be rethought for these applications. Underneath the umbrella will be ways of doing negative testing, ways of categorizing, an... » read more

Choosing Verification Engines

Emulation, simulation, FPGA prototyping and formal verification have very specific uses on paper, but the lines are becoming less clear as complexity goes up, more third-party IP is included, and the number of use cases and interactions of connected devices explodes. Ironically, the lines are blurring not for the most complex SoCs, such as those used in smart phones. The bigger challenge app... » read more

Alexa, Can You Help Me Build A Better SoC?

Consumers have fallen love with clever products like Amazon Echo, Nest, Google maps, Waze and Zillow that somehow make life a little easier and more fun. The underlying technology that makes these apps so rich and useful is machine learning and it seems to be showing up everywhere. Maybe it’s time to ask, “Alexa, can you help me build a better SoC?” The Next Frontier in SoC Architectur... » read more

Heterogeneous System Challenges Grow

As more types of processors are added into SoCs—CPUs, GPUs, DSPs and accelerators, each running a different OS—there is a growing challenge to make sure these compute elements interact properly with their neighbors. Adding to the problem is this mix of processors and accelerators varies widely between different markets and applications. In mobile there are CPUs, GPUs, video and crypto pr... » read more

The Week In Review: Design

Numbers EDA and IP sales increased 5.6% in Q2 to $2.013 billion, up from $1.907 billion in the same period in 2015, according to the most recent Electronic System Design Alliance numbers. Asia/Pacific revenue increased 10.9% to $608.1 million; Japan increased 15.7% to $211.4 million. The Americas increased 4.4% to $908.4 million. IP Cadence launched the latest generation of its Xtensa ... » read more

Building Chips That Can Learn

The idea that devices can learn optimal behavior rather than relying on more generalized hardware and software is driving a resurgence in artificial intelligence, machine leaning, and cognitive computing. But architecting, building and testing these kinds of systems will require broad changes that ultimately could impact the entire semiconductor ecosystem. Many of these changes are wel... » read more

Rethinking Verification For Cars

As the amount of electronic content in a car increases, so does the number of questions about how to improve reliability of those systems. Unlike an [getkc id="76" kc_name="IoT"] device, which is expected last a couple of years, automotive electronics fall into a class of safety-critical devices. There are standards for verifying these devices, new test methodologies, and there is far mo... » read more

Executive Insight: Sundari Mitra

Sundari Mitra, co-founder and CEO of [getentity id="22535" e_name="NetSpeed Systems"], sat down with Semiconductor Engineering to discuss machine learning, shifting from a processor-centric to a memory-centric design, and what needs to change to make that all happen. What follows are excerpts of that conversation. SE: What is the biggest change you’re seeing? Mitra: We go through a cycl... » read more

Plugging Holes In Machine Learning

The number of companies using machine learning is accelerating, but so far there are no tools to validate, verify and debug these systems. That presents a problem for the chipmakers and systems companies that increasingly rely on machine learning to optimize their technology because, at least for now, it creates the potential for errors that are extremely difficult to trace and fix. At the s... » read more

What’s Missing From Machine Learning

Machine learning is everywhere. It's being used to optimize complex chips, balance power and performance inside of data centers, program robots, and to keep expensive electronics updated and operating. What's less obvious, though, is there are no commercially available tools to validate, verify and debug these systems once machines evolve beyond the final specification. The expectation is th... » read more

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