Targeting And Tailoring eFPGAs


Robert Blake, president and CEO of Achronix, sat down with Semiconductor Engineering to discuss what's changing in the embedded FPGA world, why new levels of customization are so important, and difficulty levels for implementing embedded programmability. What follows are excerpts of that discussion. SE: There are numerous ways you can go about creating a chip these days, but many of the prot... » read more

Verifying AI, Machine Learning


[getperson id="11306" comment="Raik Brinkmann"], president and CEO of [getentity id="22395" e_name="OneSpin Solutions"], sat down to talk about artificial intelligence, machine learning, and neuromorphic chips. What follows are excerpts of that conversation. SE: What's changing in [getkc id="305" kc_name="machine learning"]? Brinkmann: There’s a real push toward computing at the edge. ... » read more

The Limits Of IP Reuse


The basic business proposition for third-party IP is that it's cheaper, faster, and less problematic to buy rather than build. But things haven't exactly worked out according to plan, either for companies that license IP or those that develop it. For [getkc id="43" kc_name="IP"] licensees, just keeping track of an endless series of updates is becoming unwieldy. Complex designs often include ... » read more

What Does An AI Chip Look Like?


Depending upon your point of reference, artificial intelligence will be the next big thing or it will play a major role in all of the next big things. This explains the frenzy of activity in this sector over the past 18 months. Big companies are paying billions of dollars to acquire startup companies, and even more for R&D. In addition, governments around the globe are pouring additional... » read more

What’s Next For Transistors


The IC industry is moving in several different directions at once. The largest chipmakers continue to march down process nodes with chip scaling, while others are moving towards various advanced packaging schemes. On top of that, post-CMOS devices, neuromorphic chips and quantum computing are all in the works. Semiconductor Engineering sat down to discuss these technologies with Marie Semeri... » read more

Homogeneous And Heterogeneous Computing Collide


Eleven years ago processors stopped scaling due to diminishing returns and the breakdown of [getkc id="213" kc_name="Dennard's Law"]. That set in motion a chain of events from which the industry has still not fully recovered. The transition to homogeneous multi-core processing presented the software side with a problem that they did not know how to solve, namely how to optimize the usage of ... » read more

System Bits: Nov. 8


Optimizing multiprocessor programs for non-experts While ‘dynamic programming’ is a technique that yields efficient solutions to computational problems in economics, genomic analysis, and other fields, adapting it to multicore chips requires a level of programming expertise that few economists and biologists have. But researchers from MIT’s Computer Science and Artificial Intelligence La... » read more

MapD Makes GPUs First-Class Citizens


It’s now well known that with the latest innovations in parallel programming and GPU technology, graphics processing units (GPUs) can be harnessed today to deal with the enormous data sets regularly encountered in applications ranging from ADAS, artificial intelligence, and gaming to deep learning, scientific computation, and high-performance computing. But how exactly do you find what you... » read more

GPUs Power Ahead


GPUs, long a sideshow for CPUs, are suddenly the rising stars of the processor world. They are a first choice in everything from artificial intelligence systems to automotive ADAS applications and deep learning systems powered by [getkc id="261" kc_name="convolutional neural network"]. And they are still the mainstays of high-performance computing, gaming and scientific computation, to name ... » read more

Rethinking Processor Architectures


The semiconductor industry's obsession with clock speeds, cores and how many transistors fit on a piece of silicon may be nearing an end for real this time. The [getentity id="22048" comment="IEEE"] said it will develop the International Roadmap for Devices and Systems (IRDS), effectively setting the industry agenda for future silicon benchmarking and adding metrics that are relevant to specifi... » read more

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