category: Top Stories

category: Auto, Security & Edge AI

Executive Insight: Aart de Geus
By Ed Sperling - 24 Aug, 2017 - Comments: 0

Aart de Geus, chairman and co-CEO of [getentity id="22035" e_name="Synopsys"], sat down with Semiconductor Engineering to discuss machine learning and big data, the race toward autonomous vehicles, systems vs. chips, software vs. hardware, and the future of EDA. What follows are excerpts of that conversation. SE: The whole tech world is buzzing over data and how it gets used in areas such as... » read more

When Is Verification Complete?
By Ann Mutschler - 24 Aug, 2017 - Comments: 0

Deciding when verification is done is becoming a much more difficult decision, prompting verification teams to increasingly rely on metrics rather than just the tests listed in the verification plan. This trend has been underway for the past couple of process nodes, but it takes time to spot trends and determine whether they are real or just aberrations. The Wilson Research Group conducts a ... » read more

Applying Machine Learning
By Ann Mutschler - 13 Aug, 2017 - Comments: 0

Sundari Mitra, co-founder and CEO of NetSpeed Systems, sat down with Semiconductor Engineering to discuss machine learning, training algorithms, what customers are struggling with today, and how startups fare in an increasingly consolidated semiconductor industry. What follows are excerpts of that conversation. SE: Machine learning is booming. How will this change design? Mitra: This is a... » read more

Using Machine Learning In EDA
By Ann Mutschler - 02 Aug, 2017 - Comments: 0

Machine learning is beginning to have an impact on the EDA tools business, cutting the cost of designs by allowing tools to suggest solutions to common problems that would take design teams weeks or even months to work through. This reduces the cost of designs. It also potentially expands the market for EDA tools, opening the door to even new design starts and more chips from more compan... » read more

CCIX Enables Machine Learning
By Brian Bailey - 31 Jul, 2017 - Comments: 5

It takes a lot of technology to enable something like machine learning, and not all of it is as glamorous as neural network architectures and algorithms. Several levels below that is the actual hardware on which these run, and that brings us into the even less sexy world of interfaces. One such interface, the Cache Coherent Interconnect for Accelerators (CCIX), pronounced C6, aims to make th... » read more

The Secret Life Of Accelerators
By Ed Sperling - 27 Jul, 2017 - Comments: 0

Accelerator chips increasingly are providing the performance boost that device scaling once provided, changing basic assumptions about how data moves within an electronic system and where it should be processed. To the outside world, little appears to have changed. But beneath the glossy exterior, and almost always hidden from view, accelerator chips are becoming an integral part of most des... » read more

Designing For The IoT
By Brian Bailey - 27 Jul, 2017 - Comments: 0

Each day of the Design Automation Conference (DAC) starts with a keynote. What was particularly noteworthy this year was that they all focused on some aspect of the [getkc id="76" comment="Internet of Things"] (IoT), and the value of hardware within the IoT. Semiconductor Engineering attended all of the keynotes. What follows are highlights of those talks, along with some analysis. (The four... » read more

How Much Verification Is Necessary?
By Ann Mutschler - 27 Jul, 2017 - Comments: 0

Since the advent of IC design flows, starting with RTL descriptions in languages like Verilog or VHDL, project teams have struggled with how much verification can and should be performed by the original RTL developers. Constrained-random methods based on high-level languages such as [gettech id="31021" t_name="e"] or [gettech id="31023" comment="SystemVerilog"] further cemented the role of t... » read more

Machine Learning Popularity Grows
By Ann Mutschler - 26 Jul, 2017 - Comments: 1

Machine learning and deep learning are showing a sharp growth trajectory in many industries. Even the semiconductor industry, which generally has resisted this technology, is starting to changing its tune. Both [getkc id="305" kc_name="machine learning"] (ML) and deep learning (DL) have been successfully used for image recognition in autonomous driving, speech recognition in natural langua... » read more

Hybrid Emulation
By Brian Bailey - 19 Jul, 2017 - Comments: 0

Semiconductor Engineering sat down to discuss the growing usage of hybrid verification approaches with Frank Schirrmeister, senior group director of product management & marketing for [getentity id="22032" e_name="Cadence"]; Russ Klein, program director for pre-silicon debug products at [getentity id="22017" e_name="Mentor, a Siemens Business"]; [getperson id="11027" comment="Phil Moorby"],... » read more

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