1 repositorio
Awesome GitHub RepositoriesGPU-Accelerated Data Parsers
Parsers that load various tabular file formats directly into GPU memory buffers.
Distinct from Parquet Data Parsers: Covers multiple formats (CSV, Parquet, ORC) collectively via GPU acceleration, whereas the sibling focuses only on Parquet.
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Awesome GPU-Accelerated Data Parsers GitHub Repositories
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- rapidsai/cudf
rapidsai/cudf
9,672Ver en GitHubcuDF is a GPU-accelerated dataframe library and data processing engine designed for manipulating and analyzing large tabular datasets. It provides a high-level API for executing filtering, joining, and aggregating operations directly on GPU hardware. The project integrates the Apache Arrow memory format to enable zero-copy data transfers and includes a just-in-time compiler for executing custom user-defined functions on the GPU. The library features specialized acceleration for existing workflows by redirecting standard Pandas dataframe calls and Polars query plans to a GPU backend. It also p
Provides a set of tools for reading and writing CSV, Parquet, and ORC files directly into GPU memory.
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