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A comment on Path-breaking Papers About Image Classification. Parent comment

Re:Path-breaking Papers About Image Classification by falcolas on Wednesday August 16, 2017 @10:41AM (#15027814)
Not really - since GPUs have started to hit the same "Process" size as CPUs - and haven't been showing a lot of growth in that area. The best improvement per Wikipedia's chart is a small foray into 14 and 12nm, and those haven't doubled the transistor counts (per square mm).

What we are seeing is an increase in die sizes; more parallel cores. Parallel cores still require parallel algorithms, so I stand by my earlier statement.

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Re:Path-breaking Papers About Image Classification by lostmsu on Wednesday August 16, 2017 @12:22PM (#15028738)
Latest NVidia GPUs are ~1.3-1.4 times faster, than previous gen with the same or lower power consumption.
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Re:Path-breaking Papers About Image Classification by AstralStorm on Wednesday August 16, 2017 @01:28PM (#15029359)
Moore's law is about transistor count and not performance. Performance of those parallel architectures always get subject to Amdahl's rule of scaling.

This is partly why we see slowing scaling in performance and why you cannot just throw cores at the problem.

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