Ivy bridge peak gflops for bitcoin


In some cases, the SP ones have even lower latency. Sign up or log in Sign up using Google. In response to your edit: In my experience, the places where one does a lot of add are bandwidth-bound such that more add throughput won't help.

I see now that the the link stackoverflow. Floating point addition, multiplication and FMA all have a throughput of 2 instructions per clock cycle and a latency of 4. Stack Overflow works best with JavaScript enabled.

Stack Overflow works best with JavaScript enabled. The throughput for Haswell is lower for addition than for multiplication and FMA. Post as a guest Name. You need to double the numbers since the counter is assuming DP. I understand now why I was confused.

The throughput for Haswell is lower for addition than for multiplication and FMA. Here are FLOPs counts for a number of recent processor microarchitectures and explanation how to achieve them:. Join Stack Overflow to learn, share knowledge, and build your career. Post as a guest Name. If your code contains ivy bridge peak gflops for bitcoin additions then you have to replace the additions by FMA instructions with a multiplier of 1.

The throughput for Haswell is lower for addition than for multiplication and FMA. The latency of FMA instructions on Haswell is 5 and the throughput is 2 per clock. In my experience, the places where one does a lot of add are bandwidth-bound such that more add throughput won't help. Intel Core 2 and Nehalem:

Intel Core 2 and Nehalem: The throughput for Haswell is lower for addition than for multiplication and FMA. In response to your edit: In my experience, the places where one does a lot of add are bandwidth-bound such that more add throughput won't help.

Leeor, maybe you could post some code to show this? A Fog 1, 14 Even on M4 the FPU is optional.

I'll have to get back to this. However the link below seems to indicate that Sandy-bridge can do 16 flops per cycle per core ivy bridge peak gflops for bitcoin Haswell 32 flops per cycle per core http: 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. Sign up using Email and Password.