add post about allocation rate of the rpython gc#162
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mattip
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Jun 15, 2025
| print(mem / (t2 - t1), 'GB/s') | ||
| ``` | ||
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| Then we need to add some RPython schaffolding: |
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| Then we need to add some RPython schaffolding: | |
| Then we need to add some RPython scaffolding: |
| 9.684149 s | ||
| 14.901161 GB | ||
| 1.538717 GB/s | ||
| ``` |
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Maybe a word or two here about how the mark-and-sweep GC is much faster than the Boehm one?
| 0.005999000 seconds sys | ||
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| This is pretty cool, we can run this loop with an IPC of >5. Every allocation |
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| ## How often does the GC run? | ||
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| The RPython GC queries the L2 cache size to determine the size of the nursery. We can find out what it is like this: |
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| The RPython GC queries the L2 cache size to determine the size of the nursery. We can find out what it is like this: | |
| The RPython GC queries the L2 cache size to determine the size of the nursery. We can find out what it is by printing some PYPYLOG gc information to stdout: |
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| The RPython GC queries the L2 cache size to determine the size of the nursery. We can find out what it is like this: | |
| The RPython GC queries the L2 cache size to determine the size of the nursery. We can find out what it is by turning on PYPYLOG, selecting the proper parameters, and printing to `stdout` via `:-` : |
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| ``` | ||
| Loop 1 (run;/home/cfbolz/projects/gitpypy/allocatealot.py:6-9~#24 FOR_ITER) has address 0x7ced473ffa0b to 0x7ced473ffbb0 (bootstrap 0x7ced473ff980) | ||
| ``` |
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How does the code block show up in the rendered post? I think it might be nicer to break it into two lines with a '\' continuation marker
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thanks @mattip! |
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