Designing For The IoT


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?


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


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


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

The Darker Side Of Machine Learning


Machine learning can be used for many purposes, but not all of them are good—or intentional. While much of the work underway is focused on the development of machine learning algorithms, how to train these systems and how to make them run faster and do more, there is a darker side to this technology. Some of that involves groups looking at what else machine learning can be used for. So... » read more

Verification Unification


Semiconductor Engineering brought together industry luminaries to initiate the discussion about the role that formal technologies will play with the recently released early adopter's draft of Portable Stimulus and how it may help to bring the two execution technologies closer together. Participating in this roundtable are Joe Hupcey, verification product technologist for [getentity id="22017" e... » read more

Machine Learning Meets IC Design


Machine Learning (ML) is one of the hot buzzwords these days, but even though EDA deals with big-data types of issues it has not made much progress incorporating ML techniques into EDA tools. Many EDA problems and solutions are statistical in nature, which would suggest a natural fit. So why is it so slow to adopt machine learning technology, while other technology areas such as vision recog... » read more

Verification In The Cloud


By Ed Sperling Leasing of cloud-based verification resources on an as-needed basis is finally beginning to gain traction after more than a decade of false starts and over-optimistic expectations. All of the major EDA vendors now offer cloud-based services. They view this as a way of either supplementing a chipmaker's existing resources at various peak use times, or for small and midsize com... » read more

Connecting The Car


K. Charles Janac, chairman and CEO of ArterisIP, sat down with Semiconductor Engineering to discuss changes in automotive and how the connected car will affect chip design and a multitude of other markets. What follows are excerpts of that conversation. SE: What is the biggest change you're seeing in semiconductors? Janac: The really big change is that mobility is flattening out. The mark... » read more

RISC-V Pros And Cons


Simpler, faster, lower-power hardware with a free, open, simple instruction set architecture? While it sounds too good to be true, efforts are underway to do just that with RISC-V, the instruction-set architecture (ISA) developed by UC Berkeley engineers and now administered by a foundation. It has been known for some time that with [getkc id="74" comment="Moore's Law"] not offering the same... » read more

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