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Computer Science > Programming Languages

arXiv:2506.16883 (cs)
[Submitted on 20 Jun 2025]

Title:Low Overhead Allocation Sampling in a Garbage Collected Virtual
Machine

Authors:Christoph Jung, C.F. Bolz-Tereick
View a PDF of the paper titled Low Overhead Allocation Sampling in a
Garbage Collected Virtual Machine, by Christoph Jung and C.F.
Bolz-Tereick
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    Abstract:Compared to the more commonly used time-based profiling,
    allocation profiling provides an alternate view of the execution
    of allocation heavy dynamically typed languages. However,
    profiling every single allocation in a program is very
    inefficient. We present a sampling allocation profiler that is
    deeply integrated into the garbage collector of PyPy, a Python
    virtual machine. This integration ensures tunable low overhead
    for the allocation profiler, which we measure and quantify.
    Enabling allocation sampling profiling with a sampling period of
    4 MB leads to a maximum time overhead of 25% in our benchmarks,
    over un-profiled regular execution.

Subjects: Programming Languages (cs.PL)
Cite as:  arXiv:2506.16883 [cs.PL]
          (or arXiv:2506.16883v1 [cs.PL] for this version)
          https://doi.org/10.48550/arXiv.2506.16883
          Focus to learn more
          arXiv-issued DOI via DataCite (pending registration)

Submission history

From: C.F. Bolz-Tereick [view email]
[v1] Fri, 20 Jun 2025 10:11:03 UTC (587 KB)
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