pidigits is based on long numbers. We can make pypy be the same speed
as cpython (porting missing optimizations), but not faster, or at
least unlikely. Since the time is spent in runtime, the JIT does not
help at all.
We tried to used GMP, but we found out that GMP semantics are not
really suitabl
Hi folks
I've been looking at the pidigits benchmark from the Computer Language
Benchmarks, but measuring performance without FFI (so native Python numbers
instead of GMP).
You can see my results here:
https://github.com/Wilfred/the_end_times#preliminary-results
I'm seeing better performance for
