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Reading list #2

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  1. lewurm commented on Mar 3, 2021

    @lewurm

    Inline Caching:

    Hidden classes:

  2. changed the title [-]Things to read[/-] [+]Reading list[/+] on Mar 4, 2021
  3. markshannon commented on Mar 11, 2021

    @markshannon
    Member

    Analyses of Python runtime overhead:

    Interpreter dispatch:

  4. added
    MetaStuff about the project (incl. management)
    on Mar 16, 2021
  5. ericsnowcurrently commented on Aug 2, 2021

    @ericsnowcurrently
    Collaborator

    "USING PYTHON FOR MODEL INFERENCE IN DEEP LEARNING", DeVito et al (Facebook AI Research)

    https://arxiv.org/abs/2104.00254

    The most relevant aspects, for our project, are their coverage of a popular class of Python workloads (PyTorch) and their approach to CPU parallelism using CPython.

    Overall, they cover a lot of interesting details that extend to many parts of Python core development and to the Python packaging ecosystem. Most notably:

    • a popular class of Python workloads (PyTorch)
    • embedding CPython
    • running multiple interpreters in the same process with CPU parallelism
    • interpreter isolation
    • solutions for package dependency resolution
    • packaging PyTorch models for efficiency
  6. gvanrossum commented on Aug 17, 2021

    @gvanrossum
    CollaboratorAuthor

    A very detailed post on perf improvements for .NET 6:

    https://devblogs.microsoft.com/dotnet/performance-improvements-in-net-6/

  7. gvanrossum commented on Nov 16, 2021

    @gvanrossum
    CollaboratorAuthor

    Copy-and-Patch Compilation:

    https://arxiv.org/pdf/2011.13127.pdf

  8. locked and limited conversation to collaborators on Dec 1, 2021
  9. moved this from Todo to Other in Fancy CPython Boardon Jan 10, 2022
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