Statements (70)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:developed_by |
gptkb:DJ
|
| https://www.w3.org/2000/01/rdf-schema#label |
cu DF
|
| gptkbp:integrates_with |
gptkb:skincare_product
cu Graph cu ML |
| gptkbp:is_compatible_with |
gptkb:Apache_Arrow
|
| gptkbp:is_used_for |
data manipulation
|
| gptkbp:language |
gptkb:C++
gptkb:Library |
| gptkbp:latest_version |
0.10.0
|
| gptkbp:license |
Apache License 2.0
|
| gptkbp:part_of |
RAPIDSAI
|
| gptkbp:performance |
high
|
| gptkbp:provides |
GPU acceleration
data processing capabilities data serialization data analytics capabilities performance optimization tools data cleaning tools data transformation tools memory management tools data deserialization data type conversion Data Frame API interoperability with Num Py GPU-accelerated aggregations GPU-accelerated groupby operations GPU-accelerated joins Series API interoperability with Pandas interoperability with Py Torch interoperability with Tensor Flow |
| gptkbp:released_in |
gptkb:2018
|
| gptkbp:repository |
gptkb:archive
|
| gptkbp:supports |
ETL processes
data filtering data lineage tracking data validation data visualization real-time analytics user-defined functions big data analytics cloud computing environments data governance features data lakes data warehousing data security features CSV files data import/export SQL-like queries data profiling data exploration data pipelines machine learning workflows custom data types data merging Parquet files data science workflows ORC files on-premises deployments data sorting Numpy-like operations data reshaping Pandas-like operations multi-GPU operations |
| gptkbp:targets |
NVIDIAGP Us
|
| gptkbp:used_in |
GPU computing
|
| gptkbp:bfsParent |
gptkb:Rapids_AI
|
| gptkbp:bfsLayer |
6
|