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Bookmark or Share- How to properly calculate CPU and GPU FLOPS performance?This Wiki page says that Kaby Lake CPUs compute 32 FLOPS (single precision FP32) and Pascal cards compute 2 FLOPS (single precision FP32), which means we can compute their total FLOPS performance using the following formulas: CPU: TOTAL_FLOPS = 2.8 GHz * 4 cores * 32 FLOPS = 358 GFLOPS GPU: TOTAL_FLOPS = 1.3 GHz * 768 cores * 2 FLOPS = 1996 GFLOPS
- Number of FLOPs (floating point operations) for exponentiationNumber of FLOPs (floating point operations) for exponentiation. Ask Question Asked 5 years, 9 months ago.
- Calculate amount of FLOPs for an eigenvalue problem solverTo compare the complexity of the eigenvalue solving process for both matrices I would like to calculate the number of FLOPs needed for this procedure. Of course, it is possible to calculate the time need for the eigenvalue solver to complete its task, but this is highly unstable since a lot of background processes might be creating some noise.
- How to determine the amount of FLOPs my computer is capable ofHere one can find binaries for Windows, Linux and Mac OS. When solving linear system of equations, it estimates FLOPs. The information is given as, ===== Timing linear equation system solver ===== Size LDA Align.
- What is the difference between FLOPS and OPS?FLOPS are just not a terribly interesting metric for most use cases. Both parts of the metric, actually: the FLO part (floating-point) and the PS part (time). If you are building a supercomputer for military applications, then yes, FLOPS is interesting to you.
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