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uw-ssec/zarr-chunk-optimization

v0.1.0MIT

Benchmarking and optimization tools for Zarr chunking strategies on cloud object stores. Measures performance across access patterns and generates recommendations based on Nguyen et al. (2023) methodology.

chunking-strategy

Benchmarks and optimizes Zarr chunking strategies for multi-dimensional scientific datasets, measuring wall-clock time, peak memory, and I/O metrics across spatial, time-series, and spectral access patterns following Nguyen et al. (2023) methodology. Use when the user asks about Zarr chunk sizing, storage layout optimization, benchmarking array access patterns, or choosing chunk configurations for scientific data on S3, GCS, or local storage.

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