New Market Drivers


Semiconductor Engineering sat down to discuss changing market dynamics with Steve Mensor, vice president of marketing for [getentity id="22926" e_name="Achronix"]; Apurva Kalia, vice president of R&D in the System and Verification group of [getentity id="22032" e_name="Cadence"]; Mohamed Kassem, CTO for [getentity id="22910" comment="efabless"]; Matthew Ballance, product engineer and techno... » read more

Blog Review: April 4


Synopsys' Richard Solomon explains PCIe's upstream and downstream component naming and why understanding the perspective is key. Mentor's Cristian Filip dives into frequency domain analysis for high data rate SerDes links and the movement toward a simpler way of channel characterization. Cadence's Paul McLellan takes a look at the history of the RISC processors and the death of microcode ... » read more

How To Choose The Right Memory


When it comes to designing memory, there is no such thing as one size fits all. And given the long list of memory types and usage scenarios, system architects must be absolutely clear on the system requirements for their application. A first decision is whether or not to put the memory on the logic die as part of the SoC, or keep it as off-chip memory. "The tradeoff between latency and th... » read more

Blog Review: March 28


Mentor's Joe Hupcey III and Jin Hou explain how to use the Open Verification Language (OVL) library of assertions to build an effective formal testbench. In a video, Cadence's Marc Greenberg discusses the benefits of moving non-volatile memory from the SSD to the DDR bus and possible new storage-class memories. Synopsys' Anders Nordstrom argues that security can no longer be ignored when ... » read more

Going Deep Or Broad With Formal?


Whether to apply [getkc id="33" comment="formal verification"] technology to semiconductor design broadly or deeply is a tough question. It hinges on what is the best way to achieve maximum ROI. Do you want to identify hard to find bugs, and get a certain level of confidence about a block? Where should the effort be placed? Is it by going deep, meaning a team of specialists or experts must b... » read more

When AI Goes Awry


The race is on to develop intelligent systems that can drive cars, diagnose and treat complex medical conditions, and even train other machines. The problem is that no one is quite sure how to diagnose latent or less-obvious flaws in these systems—or better yet, to prevent them from occurring in the first place. While machines can do some things very well, it's still up to humans to devise... » read more

The Week In Review: Manufacturing


Trade President Trump this week announced his decisions on the actions the administration will take in response to China’s alleged unfair trade practices covered in the USTR Section 301 investigation of “China’s Acts, Policies, and Practices Related to Technology Transfer, Intellectual Property, and Innovation.” Trump has proposed import tariffs that amount to about $60 billion on pro... » read more

The Week In Review: Design


M&A Synopsys acquired Silicon and Beyond, a provider of high-speed SerDes and ADC/DAC IP. The company was founded in 2012 as SilabTech and headquartered in Bangalore. Synopsys highlighted the team of R&D engineers with high-speed SerDes expertise that would be joining with the acquisition. Terms of the deal were not disclosed. ANSYS will acquire OPTIS, a provider of software for sci... » read more

Embedded World 2018: Security, Safety, And Digital Twins


This year's embedded world in Nuremberg was again very well attended despite a cold wave in Europe. The key trends I had expected to see were safety and security, and the exhibits did not disappoint. One additional key theme that stood out to me was that of “digital twinning.” And, of course, the battle of processor ecosystems does continue. RISC-V has joined the games and feels a bit like ... » read more

Applying Machine Learning To Chips


The race is on to figure out how to apply analytics, data mining and machine learning across a wide swath of market segments and applications, and nowhere is this more evident than in semiconductor design and manufacturing. The key with ML/DL/AI is understanding how devices react to real events and stimuli, and how future devices can be optimized. That requires sifting through an expandi... » read more

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