Nice read. Interview on the IoT with ARMs CTO
http://semiengineering.com/iot-architectures-and-security/
IoT, Architectures, And Security
202305
ARM CTO Mike Muller discusses how markets and technology are changing in a very candid one-on-one interview.
One snip
SE: This is also the part of the market that is not following Moore’s Law, right?
Muller: Yes, but the world doesn’t need 100 million different microcontrollers. It can get by with hundreds or thousands of microcontrollers that enable 100 million different products. The economics become a question of whether you can take standard hardware product, write software and apps, and create the system you want to deploy. It’s not a question of whether you can build a custom SoC. Most of the applications out there don’t need a custom SoC.............
Brian Faith on eFPGA
Third, the additional design flexibility engendered by SoCs with eFPGA technology allows one device to serve many different applications and markets. That fact allows the significant development cost of advanced SoCs to be amortized over greater volumes (reducing per unit development costs) and, by driving per-design wafer volumes up substantially, can reduce individual device unit costs. - See more at: http://blog.quicklogic.com/mobile/q...ies-brings-big-benefits/#sthash.mKBD0lkZ.dpuf
this snip is great
because by the time you get to the apps developer you have to abstract away the horror of the hardware.
so there is a reason for PEEL and others to work with QUIK...
another good snip
SE: This is one of the big shifts. You have distributed processing everywhere, and when you think about edge devices you need to think about security and power and throughput and how to process all of the data.
Muller: And from ARM’s perspective, we’re interested in how you do machine learning in the cloud and in the device. It’s not just about really fast accelerators you can put into the cloud. You have to develop architectures to allow that to scale all the way down to your microcontroller.
QUIK has all the bits and pieces to make the very best NNLE ( neural network learning engine) ......
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