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Applications for Embedded FPGA

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in Blogs
23 September 2017

Market leaders in a wide range of markets are quickly embracing embedded FPGA technology because it significantly increases the return on investment required to bring complex chips to market. With readily-available, high-density blocks of programmable RTL in any size and with the features a customer needs, designers now have the powerful flexibility to customize a single chip for multiple markets and/or upgrade the chip while in the system to adjust to changing standards such as networking protocols. Customers can also easily update their chips with the latest deep learning algorithms and/or implement their own versions of protocols in data centers. In the past, the only way to accomplish these updates was through expensive and time-consuming new mask versions of the same chip.

The PCI Express bus, originally designed for desktop personal computers, is a high-speed serial replacement of the older PCI/PCI-X bus. It is used across a range of applications, including storage devices, networking, communications, cluster interconnect etc. PCI Express is based on point-to-point topology which means separate serial links connect every device to the root complex.

As demand for artificial intelligence (AI) increases, chip makers strive to create more powerful and more efficient processors. The goal is to accommodate the requirements of neural networks with better and cheaper solutions, while staying flexible enough to handle evolving algorithms. At Hotchips 2017, many new deep learning and AI technologies were unveiled, showing the different approaches of leading tech firms as well as budding startups. Check out this EETimes survey of Hotchips for a good summary of the event focused on chips for AI data centers.

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Since the advent of electronics, the need for high-speed data communication has been growing. Particularly the rise in prominence of cloud computing, IOT and massive sized media files has simply increased the demands on the networks to support higher speeds and evolve with the demands of the current age and time.

Horizon2020 has opened many high-tech lines in 2014, following these type of ideas, and now puts large funds into technology in European countries to improve the economy and innovation, helping to bring companies from outside into the EU and developing the local innovation process.

Marketing in the Asia Pacific (APAC) is characterized by greater variability than in the West. One of the challenges we face is employees training in general and the training of sales teams in particular, such as direct sales team, engineers and representatives in Asia.

For those of you that have been reading my blogs or watching my presentations for a while, you will know I like to use cars for analogies. They represent a system that everyone understands at a user level, they are composed of many subsystems, the details of which can get pretty complicated if you dig deep. So today, you will see how most chip architectures are designed like having a car without a gas pedal – and what you can do about it.

The change taking place in China and Asian countries is an opportunity. Over the years, we have become accustomed working with suppliers from Asia in all areas of high-tech, especially in manufacturing. KAL also has customers in the Far East: in China, in Taiwan and in Japan, but in the recent years, all the Asian countries started to change, especially China.

I recently attended the first AutoSens Conference held in the United States. AutoSens not only delivered a quality conference, but also a compelling experience. Detroit was selected to host this event as the historic pioneer of the last revolution in mobility — mass production of the automobile via the assembly line. Also, Detroit is now leading the way in the next renaissance — that of a mass-produced autonomous vehicle.

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As virtual assistants become more intelligent, our expectations from them become increasingly higher. Now that simple voice commands are practically taken for granted, deep learning is enabling more complex interactions, like contextual conversations and emotion detection. In my previous column, I reviewed the drawbacks and missing features of currently prevalent voice interfaces. But those kinks and quirks are on the verge of elimination. In this article, I’ll be looking forward to tomorrow’s voice interfaces and the technologies that will enable them.

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