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4 changes: 2 additions & 2 deletions README.md
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# oneAPI Heterogeneous Data Kernels [![Conda Version](https://img.shields.io/conda/vn/conda-forge/pyhdk.svg)](https://anaconda.org/conda-forge/pyhdk)
oneHDK is a low-level execution library for data analytics processing.
# HDK - Heterogeneous Data Kernels [![Conda Version](https://img.shields.io/conda/vn/conda-forge/pyhdk.svg)](https://anaconda.org/conda-forge/pyhdk)
HDK is a low-level execution library for data analytics processing.

HDK is used as a fast execution backend in [Modin](https://github.com/intel-ai/modin). The HDK library provides a set of components for federating analytic queries to an execution backend based on [OmniSciDB](https://github.com/intel-ai/omniscidb). Currently, HDK targets OLAP-style queries expressed as relational algebra or SQL. The APIs required for Modin support have been exposed in a library installed from this repository, `pyhdk`. Major and immediate project priorities include:
- Introducing a HDK-specific IR and set of optimizations to reduce reliance on RelAlg and improve extensibility of the query API.
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