As are called upon to handle an explosion of unstructured fed into a variety of cutting-edge applications, the future for FPGAs looks bright.

That’s because FPGAs, or field gate arrays, are essentially that can be programmed, after manufacturing, to act as custom accelerators for workloads including machine-learning, complex data analysis, video encoding, and genomics – applications that have far-reaching consequences for communications, networking, health care, the entertainment and many other businesses.

Such applications lend themselves to parallel processing, an important feature of FPGAs, which can also be reconfigured on the fly to handle new features as the nature of these workloads evolve.

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