Intel Reveals Details On Broadwell-U At CES

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I think that the focus has shifted from massive single-thread power to efficiency per watt of power; that keeps increasing. For applications which will take decades to get an answer in a single-threaded process, the best solution (if it can be applied to the current algorithm or if an appropriate new algorithm can be made) is to massively parallelize the process. At which point getting more gigaflops for your watt of power becomes a blessing.

Out of curiosity, not as a personal challenge to your post, can you name major problems which still have to remain single-threaded to run on computers?

I do agree with you on the point that optronics, or whatever it will be called, will probably completely shatter the current instructions-per-second-per-watt barrier.
 

togusa9

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Apple a8 in 20nm has around 2 billions transistors on 89mm².
Intel broadwell u dual core has 1.9 billion transistors on 133mm² on 14nm.

How come broadwell has a larger surface area than the apple a8 ? Is this due to conceiving and manufacturing while using non-thin libraries (that are used for designing gpus) ?
 
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