Designing An AI SoC


Susheel Tadikonda, vice president of networking and storage at Synopsys, looks at how to achieve economies of scale in AI chips and where the common elements are across all the different architectures. https://youtu.be/fm0kxnj3DuM » read more

Using Memory Differently


Chip architects are beginning to rewrite the rules on how to choose, configure and use different types of memory, particularly for chips with AI and some advanced SoCs. Chipmakers now have a number of options and tradeoffs to consider when choosing memories, based on factors such as the application and the characteristics of the memory workload, because different memory types work better tha... » read more

Concurrent Test


Derek Wu, senior staff applications engineer at Advantest, looks at the need for doing multiple tests at the same time as chip designs become more complex, increasingly heterogeneous, and much more difficult to test at advanced nodes. https://youtu.be/-8inbjX_af0       __________________________________ See more tech talk videos here. » read more

Inferencing In Hardware


Cheng Wang, senior vice president of engineering at Flex Logix, examines shifting neural network models, how many multiply-accumulates are needed for different applications, and why programmable neural inferencing will be required for years to come. https://youtu.be/jb7qYU2nhoo         See other tech talk videos here. » read more

Computing Way Outside Of A Box


Mike Muller, CTO of Arm, sat down with Semiconductor Engineering to talk about changing boundaries between client and server machines, the end of Moore's Law and the impact of machine learning on chip architectures. What follows are excerpts of that conversation. SE: Are the lines blurring between what's considered a client device and what's considered a server? Muller: It's less about a ... » read more

The Next Big Chip Companies


Rambus’ Mike Noonen looks at why putting everything on a single die no longer works, what comes after Moore’s Law, and what the new business model looks like for chipmakers. https://youtu.be/X6Kca8Vm-wA » read more

Intel’s Next Move


Gadi Singer, vice president and general manager of Intel's Artificial Intelligence Products Group, sat down with Semiconductor Engineering to talk about Intel's vision for deep learning and why the company is looking well beyond the x86 architecture and one-chip solutions. SE: What's changing on the processor side? Singer: The biggest change is the addition of deep learning and neural ne... » read more

Architects Firmly In Control


Moore's Law isn't dead, but it certainly isn't what it used to be. While there may be three or four more generations of node shrinks ahead, the power/performance benefits of scaling are falling off. This is evident in new chip architectures that were introduced at this year's Hot Chips conference. Originally started to show off the latest CPUs and co-processors, in past years the focus has b... » read more

Architecture, Materials And Software


AI, machine learning and autonomous vehicles will require massive improvements in performance, at the same power consumption level (or better), over today's chips. But it's obvious that the usual approach of shrinking features to improve power/performance isn't going to be sufficient. Scaling will certainly help, particularly on the logic side. More transistors are needed to process a huge i... » read more

Smaller, Faster, Cheaper—But Different


The old mantra of "smaller, faster, cheaper" has migrated from the chip level to the electronic system level, raising some interesting questions about where the real value is being generated. Smaller as it pertains to gate size, line widths and spaces, will continue in an almost straight line for at least the next decade. The ability to print three-dimensional features on a nanoscale using E... » read more

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