Intel crams 100 GFLOPS of neural-net inferencing onto a USB stick

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Join Stack Overflow to learn, share knowledge, and build core i7 haswell gflops for bitcoin career. I'm confused on how many flops per cycle per core can be done with Sandy-Bridge and Haswell. However the link below seems to indicate that Sandy-bridge can do 16 flops per cycle per core and Haswell 32 flops per cycle per core http: I understand now why I was confused.

It would be interesting to redo these test on SP. Here are FLOPs counts for a number of recent processor microarchitectures and explanation how to achieve them:.

The throughput for Haswell is lower for addition than for multiplication and FMA. If your code contains mainly additions then you have to replace the additions by FMA instructions with a multiplier of 1.

The latency of FMA instructions on Haswell is 5 and the throughput is 2 per clock. This means that you must keep 10 parallel operations going to get the maximum throughput. If, for example, you want to add a very long list of f. This is possible indeed, but who would make such a weird optimization for one specific processor?

By posting your answer, you agree to the privacy policy and terms of service. Email Sign Up or sign in with Google. Can someone explain this to me? In response to your edit: The numbers would be exactly double the DP numbers. In some cases, the SP ones have even lower latency. However, I don't see a difference in speed and the sum reports an error so likely I need to change some more code. I'll have to get back to this. You need to double the numbers since the counter is assuming DP.

Now it works and I get twice like you said. Here are FLOPs counts for a number of recent processor microarchitectures and explanation how to achieve them: Intel Core 2 and Nehalem: I see now that the the link stackoverflow.

For Nvidia Fermi I read en. Even on M4 the FPU is optional. A Fog 1, 14 You don't need to manually break the loop, a little bit of compiler unrolling and out-of-order HW assuming you don't have dependencies can let you reach a considerable throughput bottleneck. Add to that hyperthreading and 2 operations per clock become quite necessary.

Leeor, maybe you could post some code to show this? Unrolling 10 times with FMA gives core i7 haswell gflops for bitcoin the best result. See my answer at stackoverflow. Most HPC codes that are compute-bound i. In my experience, the places where one does a lot of add are bandwidth-bound such that more add throughput won't help. The newest Intel generation has a more balanced throughput.

Floating point addition, multiplication and FMA all have a throughput of 2 instructions per clock cycle and a latency of 4. Sign up or log in Sign core i7 haswell gflops for bitcoin using Google.

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