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posts/2025/02/allocation_sampling.md

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@@ -208,12 +208,12 @@ The benchmarks used are:
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microbenchmark
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- https://github.com/Cskorpion/microbenchmark
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- [https://github.com/Cskorpion/microbenchmark](https://github.com/Cskorpion/microbenchmark)
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- `pypy microbench.py 65536`
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gcbench
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- https://github.com/pypy/pypy/blob/main/rpython/translator/goal/gcbench.py
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- [https://github.com/pypy/pypy/blob/main/rpython/translator/goal/gcbench.py](https://github.com/pypy/pypy/blob/main/rpython/translator/goal/gcbench.py)
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- print statements removed
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- `pypy gcbench.py 1`
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- Sequential 1MB 1 Thread 8 Queues
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- Self built PyPy with allocation sampling features
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- https://github.com/Cskorpion/pypy/tree/gc_allocation_sampling_u_2.7
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- [https://github.com/Cskorpion/pypy/tree/gc_allocation_sampling_u_2.7](https://github.com/Cskorpion/pypy/tree/gc_allocation_sampling_u_2.7)
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- Modified VMProf with allocation sampling support
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- https://github.com/Cskorpion/vmprof-python/tree/pypy_gc_allocation_sampling
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- [https://github.com/Cskorpion/vmprof-python/tree/pypy_gc_allocation_sampling](https://github.com/Cskorpion/vmprof-python/tree/pypy_gc_allocation_sampling)
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### Example
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## Conclusion
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In this blog post we introduced allocation sampling for PyPy by going through the technical aspects and the corresponding overhead. In a future blog post, we are going to dive into the actual usage of allocation sampling with VMProf, and show an example case study. That will be accompanied by some new improvements and additional features, like extracting the type and (hopefully) size of an object that triggered a sample.
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In this blog post we introduced allocation sampling for PyPy by going through the technical aspects and the corresponding overhead. In a future blog post, we are going to dive into the actual usage of allocation sampling with VMProf, and show an example case study. That will be accompanied by some new improvements and additional features, like extracting the type and (hopefully) size of an object that triggered a sample.

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