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(ML), and high-performance computing (HPC) communities.
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This PEP proposes "Wheel Variants", an extension to the
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Heterogeneous computing environments
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''''''''''''''''''''''''''''''''''''
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Research institutions and cloud providers often manage heterogeneous
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Research institutions and cloud providers manage heterogeneous
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computing clusters with different architectures (CPU, Hardware
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accelerators, ASICS, etc.). The current system requires
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environment-specific installation procedures, making reproducible
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------------------
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As highlighted in the previous section, the current Python packaging
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system cannot adequately serve the needs of modern heterogeneous
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computing environments. These aforementioned limitations force package
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system does not adequately serve the needs of modern heterogeneous
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computing environments. These existing limitations force package
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authors into complex workarounds that create friction for users,
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increase maintenance burden, and fragment the ecosystem.
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increase maintenance burden, and fragment the package tooling ecosystem.
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**Wheel Variants provide a standardized solution that:**
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Out-of-scope features
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---------------------
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This PEP tries to present the minimal scope required and leaves aspects
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to tools to evolve. A non-exhaustive list:
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This PEP presents the minimal scope required to meet modern heterogenous system needs. It leaves aspects beyond the minimal scope to evolve via tools or future PEPs. A non-exhaustive list of these aspects include:
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- The format of a static file to select variants deterministically or
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