Changes Ahead For Test


Testing microprocessors is becoming more difficult and more time consuming as these devices are designed to take on more complex tasks, such as accelerating artificial intelligence computing, enabling automated driving, and supporting deep neural networks. This is not just limited to microprocessors, either. Graphics processing units are grabbing market share in supercomputing and other area... » read more

3D Neuromorphic Architectures


Matrix multiplication is a critical operation in conventional neural networks. Each node of the network receives an input signal, multiplies it by some predetermined weight, and passes the result to the next layer of nodes. While the nature of the signal, the method used to determine the weights, and the desired result will all depend on the specific application, the computational task is simpl... » read more

Hyperscaling The Data Center


Enterprise data centers increasingly will look and behave more like slimmed-down versions of hyperscale data centers as chipmakers and other suppliers adapt systems developed for their biggest customers to in-house IT faciilities. The new chips and infrastructure that will serve as building blocks in these facilities will be more power-efficient, make better use of space and generate less he... » read more

Enabling Automotive Design


Falling automotive electronics prices, propelled by advances in chip manufacturing and innovations on the design side, are driving a whole new level of demand across the automotive industry. Innovations that were introduced at the luxury end of the car market over the past couple years already are being implemented in more standard vehicles. The single biggest driver of change in the automo... » read more

IoT’s Many Different Forms


The Internet of Things is settling into widespread industrial applications, along with precision agriculture, while consumer IoT continues to find its way into the home through smart speakers and their digital assistants, such as Amazon Echo, Apple HomeKit, and Google Home. The Internet of Cows and the Internet of Tomatoes may sound like fanciful subjects, yet there is serious technology in ... » read more

State Of The IoT


The Internet of Things represents many things to many people, and many of them are not good. For some it is either a laughingstock or a punching bag. For IT, it is a subject of derision because securing all connected devices at the edge is a nightmare. But in all cases, the general consensus is that the IoT has failed to live up to expectations and a level of hype not seen since the dot-com ... » read more

Which Verification Engine?


Semiconductor Engineering sat down to discuss the state of verification with Jean-Marie Brunet, senior director of marketing for emulation at [getentity id="22017" e_name="Mentor, a Siemens Business"]; Frank Schirrmeister, senior group director for product management at [getentity id="22032" e_name="Cadence"]; Dave Kelf, vice president of marketing at [getentity id="22395" e_name="OneSpin Solut... » read more

Big Challenges, Changes For Debug


By Ann Steffora Mutschler & Ed Sperling Debugging a chip always has been difficult, but the problem is getting worse at 7nm and 5nm. The number of corner cases is exploding as complexity rises, and some bugs are not even on anyone's radar until well after devices are already in use by end customers. An estimated 39% of verification engineering time is spent on debugging activities the... » read more

Prototyping Partitioning Problems


Gaps are widening in the prototyping of large, complex chips because the speed and capacity of the FPGA is not keeping pace with rapid rollout pace of advanced ASICs. This is a new twist for a well-established market. Indeed, prototyping with FPGAs is as old as the [gettech id="31071" t_name="FPGAs"] themselves. Even before they were called FPGAs, logic accelerators or LCAs (logic cell ar... » read more

One-On-One: Mike Muller


Arm CTO Mike Muller sat down with Semiconductor Engineering to discuss a wide range of technology and market shifts, including the impact of machine learning, where new market opportunities will show up and how the semiconductor industry will need to change to embrace them. What follows are excerpts of that conversation. SE: It's getting to the point where instead of just developing chips, w... » read more

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