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Benchmark scalar products for all our tables #238
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Ok, so here are some results for computing all scalar products:
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To get to these results I defined
and then ran
to skip some tables I simply inserted a |
I have a working CHEVIE environment again. Running
This gives |
... and a factor 64 for allocated memory which gives a good hint for potential optimizations |
Now that I have Oscar 1.2.2 installed it seems like it's not so bad anymore.
It seems like we are actually faster now. But still factor 12 for allocations. Keep in mind that the CHEVIE installation is inside a VM. So now that we are actually that close I'll set up Julia in the VM as well and see if anything changes. |
Ok, it is indeed a bit slower inside the VM but still faster than CHEVIE:
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You can e.g. use PProf.jl to dig deeper into the causes for the slow downs |
@SoongNoonien maybe you can compute timings for all our tables for ...
What are the slowest ones, and how long do they need?
Once we have that, we can perhaps try to see how long the Maple version takes for this to get a rough idea of where we are, performance wise, at least in this particular computation.
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