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.

Xometry: Saving Your Project Time with On-Demand Manufacturing

Saving time is one of the main considerations when manufacturing parts in the electronics industry, as well as ensuring good quality and low costs. But it is also one of the most challenging aspects in terms of management. The standard process for getting custom parts manufactured can take several months with issues arising as early on as the provider search and quoting stage.

Return of the multichip

One of the predictions made by Gordon Moore in 1975 during an IEDM keynote where he refined the ideas that gave rise to Moore’s Law was that chips would get bigger pretty quickly and that this growth would be a major contributor to scaling.

A ‘New Era’ in space products

From radiation hardened SoCs to the growing use of flying plastic encapsulated modules, recent developments have made doing business in space more achievable for a broadening base of companies.

Analogue programmability

When you look at the success of the field-programmable gate array (FPGA) in capturing a wide range of designs where flexibility counts more than volume price, the attraction to do the same for analogue makes a lot of sense.

AI: how low can you go?

Markets are subject to fads and the embedded-control sector is far from immune to them. In the 1990s, fuzzy logic seemed to be the way forward and microcontroller (MCU) vendors scrambled to put support into their offerings only to see it flame out.

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.

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