FGPA/ASIC/DSP

Despite the availability of a range of commodity products, designers often need to turn to custom devices to meet particular needs. But which technology best suits the application? Should you base your design around an FPGA or is it better to use an ASIC? Can you meet your design requirements using a DSP?

In this section, New Electronics brings you the latest developments from the advanced platforms market, looking at how to develop and apply FPGA, ASIC and DSP technology.

A clearer roadmap

There are four trends now shaping the automotive market and in a report published in 2016 by McKinsey & Company (“Automotive revolution – perspective towards 2030”) these were identified as autonomy, connectivity, electrification and diverse mobility.

Technology to the rescue

Finding malicious flows hidden in the traffic of millions of connected devices is a huge challenge, but a solution is at hand. By Claire Huckerby-Brown and Richard Parks.

Raising core-infrastructure performance

Moving, managing, and analysing data is at the heart of everything, from remote IoT endpoints capturing data to always-connected personal IoT devices, and the growing reliance on AI-centric applications for enterprise and scientific research.

Faster FPGA verification

Launched in 2015, and used by about 20% of all VHDL FPGA designers, UVVM is one of the fastest growing verification methodologies in the EDA industry.

AI set to transform healthcare

The use of artificial intelligence (AI), including machine learning (ML) and deep learning techniques (DL), is poised to become a transformational force in healthcare.

ASIC anyone?

?Has the world got the taste again for ASICs? Socionext discusses the advantages associated with this technology

Transforming technology innovation

Xilinx has established itself as the dominant player in the FPGA market over the past few years and it’s a market which, according to analysts, could be on course to be worth in excess of $120billion by 2026.

Full Force Ahead!

NI Week in Austin highlighted National Instrument’s continued focus on investing in new technologies to support design engineers.

Deep fools

In not much more than a decade, deep learning has moved from a research curiosity to a technology that could underpin a new generation of autonomous vehicles and robots: machines that can respond more intelligently to the world they perceive.

Bringing AI to the edge

Artificial intelligence (AI) has kindled the imagination of computer scientists for decades and while the ambition and enthusiasm around AI has tended to clash with the complexity of the task, today’s computational power has risen exponentially and the ambition of general AI has been curbed sufficiently to match that power.

Will the attractions of embedded FPGA overcome traditional cost objections and finally see accelerated growth?

Twenty years ago, it looked like a concept that was ready for primetime: putting programmable logic inside ASICs and SoCs. At the time, the move seemed inevitable. ASIC mask prices were rising fast, driven by the need to pull more and more from a bag of optical tricks to keep Moore’s Law on track. The cost of respins alone seemed enough to persuade designers to leave some reprogrammable “sewing kits” in their SoCs to let them iron out bugs after tapeout instead of committing tens of thousands of dollars more to the project to get some new masks.

Measuring battery life

Poor battery life is affecting the take-up of too many devices. How can power be analysed in enough detail to ensure products live up to consumer expectations?

Design a switch mode power supply using an isolated flyback topology

Here, Rich Miron, Applications Engineer at Digi-Key Electronics explores the operation of switch mode power supplies and explores make Vs. buy decision process for power supplies. Miron also investigates the design of a single output supply utilising flyback topology and provides a sample design using readily available parts and components.

Tackling congestion on programmable devices

Now more than 30 years old, the field-programmable gate array has evolved from a glue-logic device that made it possible to customise boards easily to a complete configurable system-on-chip (SoC). Hardwired 64bit processors, digital signal processing (DSP) engines and dedicated memory arrays have helped overcome the FPGAs density handicap versus fully custom silicon even for projects that expect to move into high volume.

Enabling the adaptable world

The intelligent connected world needs adaptable accelerated computing. As a result, more engineers are turning to FPGA as a Service providers via the cloud.

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