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Awesome GitHub RepositoriesGPU Data Processing Engines
High-level engines that execute data manipulation operations directly on GPU hardware.
Distinct from Headless GPU Compute Engines: Candidates are too specific (geospatial) or too low-level (batchers), missing the general dataframe engine identity.
Explore 1 awesome GitHub repository matching data & databases · GPU Data Processing Engines. Refine with filters or upvote what's useful.
Awesome GPU Data Processing Engines GitHub Repositories
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- rapidsai/cudf
rapidsai/cudf
9,672عرض على 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 high-level API for executing filtering, joining, and aggregating operations directly on GPU hardware.
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