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- W4387355422 abstract "Awkward Array is a library for performing NumPy-like computations on nested, variable-sized data, enabling array-oriented programming on arbitrary data structures in Python. However, imperative (procedural) solutions can sometimes be easier to write or faster to run. Performant imperative programming requires compilation; JIT-compilation makes it convenient to compile in an interactive Python environment. Various functions in Awkward Arrays JIT-compile a user's code into executable machine code. They use several different techniques, but reuse parts of each others' implementations. We discuss the techniques used to achieve the Awkward Arrays acceleration with JIT-compilation, focusing on RDataFrame, cppyy, and Numba, particularly Numba on GPUs: conversions of Awkward Arrays to and from RDataFrame; standalone cppyy; passing Awkward Arrays to and from Python functions compiled by Numba; passing Awkward Arrays to Python functions compiled for GPUs by Numba; and header-only libraries for populating Awkward Arrays from C++ without any Python dependencies." @default.
- W4387355422 created "2023-10-05" @default.
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- W4387355422 date "2023-10-02" @default.
- W4387355422 modified "2023-10-06" @default.
- W4387355422 title "Awkward Just-In-Time (JIT) Compilation: A Developer's Experience" @default.
- W4387355422 doi "https://doi.org/10.48550/arxiv.2310.01461" @default.
- W4387355422 hasPublicationYear "2023" @default.
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