In this paper, we analyze and evaluate the performance of cuDF versus Pandas for two graph-mining problems implemented in Datalog.
We demonstrate the feasibility of implementing Datalog applications using Python's Pandas Dataframe API and further accelerate performance using GPU accelerated�...
In this paper, we analyze and evaluate the performance of cuDF versus Pandas for two graph-mining problems implemented in Datalog.
Nov 17, 2022 � Accelerating Datalog Applications with cuDF. Authors: Ahmedur Rahman Shovon, Landon Richard Dyken, Oded Green, Thomas Gilray, Sidharth Kumar�...
... Accelerating Datalog applications with cuDF}, year={2022}, volume={}, number ... Documentation on CUDF Drop Duplicates � Documentation on CUDF�...
Request PDF | On Nov 1, 2022, Ahmedur Rahman Shovon and others published Accelerating Datalog applications with cuDF | Find, read and cite all the research�...
Sep 11, 2024 � And RAPIDS cuDF pandas accelerator mode brings accelerated computing to pandas workflows with zero code changes through a unified CPU/GPU user�...
Missing: Datalog | Show results with:Datalog
Nov 18, 2022 � cuDF is a library from the Rapids suite that uses the NVIDIA CUDA programming model for GPU parallelism. It provides similar functionalities to�...
Modelled after 10 Minutes to Pandas, this is a short introduction to cuDF and Dask-cuDF, geared mainly towards new users.
Apr 10, 2024 � Pandas, renowned as the go-to library for data manipulation and analysis in Python and widely ...
Duration: 25:31
Posted: Apr 10, 2024
Duration: 25:31
Posted: Apr 10, 2024
Missing: Datalog | Show results with:Datalog