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| 1 | +#### Overview |
| 2 | + |
| 3 | +Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics. |
| 4 | + |
| 5 | +Arrow offers three floating-point data types based on the standard IEEE binary floating-point representation: |
| 6 | +Float16, Float32 and Float64. |
| 7 | + |
| 8 | +In some workloads, 16-bit floating-point numbers have become a popular alternative to 32-bit and 64-bit representations, bringing better memory footprint and potentially better performance (when hardware support is present). |
| 9 | + |
| 10 | +However, while basic support is present, Float16 is not universally supported in all Arrow C++ components because of limited language support for 16-bit floating-point numbers. |
| 11 | + |
| 12 | +We propose to finish implementing support for Float16 in all components of Arrow C++: |
| 13 | + |
| 14 | +* scalar compute kernels: |
| 15 | + - arithmetic: `abs`, `add`, etc. |
| 16 | + - comparisons: `equal`, etc. |
| 17 | + - math: `sqrt`, etc. |
| 18 | + - `is_in`, `index_in` |
| 19 | + |
| 20 | +* vector compute kernels: |
| 21 | + - `sort_indices`, `rank`, `rank_normal`, `rank_quantile` |
| 22 | + - `partition_nth_indices` |
| 23 | + - `select_k_unstable` |
| 24 | + |
| 25 | +* aggregate compute kernels: |
| 26 | + - `sum`, `product`, `mean`, `mode`, `quantile`, `tdigest` |
| 27 | + - `variance`, `stddev`, `skew`, `kurtosis` |
| 28 | + - `first`, `last`, `min`, `max` |
| 29 | + - `index` |
| 30 | + |
| 31 | +* CSV reader |
| 32 | + |
| 33 | +* ORC reader and writer |
| 34 | + |
| 35 | +Funders can decide to fund the entire package, or choose the components they are interested in. |
| 36 | + |
| 37 | +##### Are you interested in this project? Either entirely or partially, contact us for more information on how to help us fund it |
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