As Moore's Law Slows, Open Hardware Rises

At 8 years old, Andrew "Bunnie" Huang appreciated the fact that his Apple II came with schematics and source code, because it allowed him to figure out how it worked.

"I was wondering what all these little black things on the board were and I would take the chips out and put them in backwards, even though my dad told me not to," said Huang during his EE Live! 2014 keynote on open-source hardware and the future of embedded systems. "He was right; you don't put the chips in backwards."

Today that information is guarded and protected in the hardware industry. Huang, now a research affiliate at MIT who holds a PhD in electrical engineering from the school, realized this change wasn't because hardware became too complex, but because it was too easy to improve, and Moore's Law was tough to keep up with.

If Moore's Law saw technology double every 18 months, that meant someone working on a linear improvement, like optimizing a process node, could be getting 80% performance improvement per year, and Moore's Law would be shipping something better by year two.

"So the problem has been that sitting and waiting has actually been a viable strategy versus innovation," said Huang. "This problem is particularly acute in hardware."

Read the rest of this article on EE Times.