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AI at the Edge

AI at the Edge
by Tom Dillinger on 12-20-2018 at 7:00 am

Frequent Semiwiki readers are well aware of the industry momentum behind machine learning applications. New opportunities are emerging at a rapid pace. High-level programming language semantics and compilers to capture and simulate neural network models have been developed to enhance developer productivity (link). Researchers… Read More


Embeddable FPGA Fabric on TSMC 7nm

Embeddable FPGA Fabric on TSMC 7nm
by Tom Simon on 12-14-2018 at 7:00 am

With their current line-up of embeddable and discrete FPGA products, Achronix has made a big impact on their markets. They started with their Speedster FPGA standard products, and then essentially created a brand-new market for embeddable FPGA IP cores. They have just announced a new generation of their Speedcore embeddable… Read More


Achronix Assists Academics

Achronix Assists Academics
by Tom Simon on 11-28-2018 at 7:00 am

In every semiconductor related field, innovation is the name of the game. Academic, non-profit and government research has been a consistent source of innovation. Look back at the US space program, basic science research and even military programs to see where much of the foundation of our current technological age came from.… Read More


Architecture for Machine Learning Applications at the Edge

Architecture for Machine Learning Applications at the Edge
by Tom Dillinger on 10-31-2018 at 2:01 pm

Machine learning applications in data centers (or “the cloud”) have pervasively changed our environment. Advances in speech recognition and natural language understanding have enabled personal assistants to augment our daily lifestyle. Image classification and object recognition techniques enrich our social media experience,… Read More


Avionics and Embedded FPGA IP

Avionics and Embedded FPGA IP
by Tom Dillinger on 10-15-2018 at 12:00 pm

The design of electronic systems for aerospace applications shares many of the same constraints as apply to consumer products – e.g., cost (including NRE), power dissipation, size, time-to-market. Both market segments are driven to leverage the integration benefits of process scaling. … Read More


Neural Network Efficiency with Embedded FPGA’s

Neural Network Efficiency with Embedded FPGA’s
by Tom Dillinger on 09-21-2018 at 12:00 pm

The traditional metrics for evaluating IP are performance, power, and area, commonly abbreviated as PPA. Viewed independently, PPA measures can be difficult to assess. As an example, design constraints that are purely based on performance, without concern for the associated power dissipation and circuit area, are increasingly… Read More


An FPGA Industry Veteran’s View of Future

An FPGA Industry Veteran’s View of Future
by Tom Simon on 08-29-2018 at 7:00 am

There are tectonic changes happening in the world of FPGAs. A lot has changed since their introduction in the 80’s. Back then they were mostly used to implement state machines or glue logic. Subsequently they grew more complex with the addition of high speed IOs, eRAM, DSPs, other processors and other IP. More recently though FPGAs… Read More


Timing Closure Techniques for SOCs with Embedded FPGA Fabric

Timing Closure Techniques for SOCs with Embedded FPGA Fabric
by Tom Simon on 08-07-2018 at 12:00 pm

Once the benefits of using an embedded FPGA fabric are understood, the next question is about how timing closure is handled between the ASIC and the eFPGA blocks. First let’s look briefly at the advantages. By moving the eFPGA on to the SOC die, tons of I/O logic and the need for any package and board interconnect will vanish. Package… Read More


Machine Learning and Embedded FPGA IP

Machine Learning and Embedded FPGA IP
by Tom Dillinger on 07-18-2018 at 12:00 pm

Machine learning-based applications have become prevalent across consumer, medical, and automotive markets. Still, the underlying architecture(s) and implementations are evolving rapidly, to best fit the throughput, latency, and power efficiency requirements of an ever increasing application space. Although ML is … Read More


Know what 5G is? You’re probably wrong

Know what 5G is? You’re probably wrong
by Tom Simon on 07-12-2018 at 12:00 pm

If you think the transition to 5G will be anything like the transitions before it to 3G or 4G, you are in for a big surprise. Not only will the transition take longer than either of the previous transitions, its ramifications will spread far beyond cell phones and into other areas such as automobiles, AI, healthcare, and commerce. … Read More