If some of the matrix values lead to floating point exceptions (NaN or Inf) in 
your benchmark code, that would slow it down (because of how the CPU works, not 
because of Julia). Or maybe you are doing some other computation whose 
computation steps depend on the values. What is your benchmark?

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