Accelerators Everywhere. Now What?


It's a good time to be a data scientist, but it's about to become much more challenging for software and hardware engineers. Understanding the different types and how data flows is the next path forward in system design. As the number of sources of data rises, creating exponential spikes in the volume of data, entirely new approaches to computing will be required. The problem is understandi... » read more

Looking For The Next Big Innovation


Never has there been more demand for “The Big Innovation” — one that moves the needle for performance, power and area-cost (PPAC) in a big way — as there is in the current era of AI and machine learning (ML). As summarized in Why AI Workloads Require New Computing Architectures, AI workloads require new architectures to process data. These workloads also call for heterogeneous comp... » read more

Big Changes For Mainstream Chip Architectures


Chipmakers are working on new architectures that significantly increase the amount of data that can be processed per watt and per clock cycle, setting the stage for one of the biggest shifts in chip architectures in decades. All of the major chipmakers and systems vendors are changing direction, setting off an architectural race that includes everything from how data is read and written in m... » read more

The Data Center In 2018 And Beyond


As computing continues to evolve, a number of trends are continuing to challenge the design of conventional von Neumann architectures, and in turn are driving the development of new architectural approaches and technologies. These include the growing adoption of artificial intelligence (AI), machine learning, AR/VR, IoT, high-speed financial transactions, self-driving vehicles, and blockchain/c... » read more

Move Data Or Process In Place? (Part 2)


Chip architectures, and even local system architectures, long have found that the best way to improve total system performance and power consumption is to move memory as close to processors as possible. This has led to cache architectures and memories that are tuned for those architectures, as discussed in part 1 of this article. But there are several tacit assumptions made in these architectur... » read more

Applying Machine Learning


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

Power/Performance Bits: July 11


3D chip integrates computing, storage Researchers at Stanford University and MIT developed a prototype 3D chip that integrates computation and data storage, based on carbon nanotubes and resistive RAM (RRAM) cells. The researchers integrated over 1 million RRAM cells and 2 million carbon nanotube FETs, making what the team says is the most complex nanoelectronic system ever made with emergi... » read more

What Can Go Wrong In Automotive


Semiconductor Engineering sat down to discuss automotive engineering with Jinesh Jain, supervisor for advanced architectures in Ford’s Research and Innovation Center in Palo Alto; Raed Shatara, market development for automotive infotainment at [getentity id="22331" comment="STMicroelectronics"]; Joe Hupcey, verification product technologist at [getentity id="22017" e_name="Mentor Graphics"]; ... » read more

What Comes After Moore’s Law And Dennard Scaling?


For decades, Moore’s Law has been an important semiconductor industry mainstay that has helped fuel a relentless progression in computing performance. However, most industry experts agree that Moore’s Law is waning, with an end on the horizon due to a combination of physical limitations and economic factors. With the loss of Dennard Scaling roughly 10 years ago, the industry is at a critica... » read more

Overcoming The Limits Of Scaling


Semiconductor Engineering sat down to discuss the increasing reliance on architectural choices for improvements in power, performance and area, with [getperson id="11425" comment=" Sundari Mitra"], CEO of [getentity id="22535" comment="NetSpeed Systems"]; Charlie Janac, chairman and CEO of [getentity id="22674" e_name="Arteris"]; [getperson id="11032" comment="Simon Davidmann"] CEO of [getentit... » read more

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