RAPIDS: ускоряем Pandas и scikit-learn на GPU Павел Клеменков, NVidia
Canadian Trademarks Details: GPU Global Pandas Union & design — 1725065 - Canadian Trademarks Database - Intellectual property and copyright - Canadian Intellectual Property Office - Innovation, Science and Economic Development Canada
Pandas DataFrame Tutorial - Beginner's Guide to GPU Accelerated DataFrames in Python | NVIDIA Technical Blog
Here's how you can accelerate your Data Science on GPU - KDnuggets
Supercharging Analytics with GPUs: OmniSci/cuDF vs Postgres/Pandas/PDAL - Masood Krohy - YouTube
Nvidia Rapids : Running Pandas on GPU | What is Nvidia Rapids
Panda RGB GPU Backplate Custom Made for ANY Graphics Card Model now with Vent Cut Outs and ARGB (Addressable LEDs) - V1 Tech
Accelerating ETL for Recommender Systems on NVIDIA GPUs with NVTabular | NVIDIA Technical Blog
Nvidia Rapids : Running Pandas on GPU | What is Nvidia Rapids
Python Pandas Tutorial – Beginner's Guide to GPU Accelerated DataFrames for Pandas Users | NVIDIA Technical Blog
An Introduction to GPU DataFrames for Pandas Users - Data Science of the Day - NVIDIA Developer Forums
Minimal Pandas Subset for Data Scientists on GPU | by Rahul Agarwal | Towards Data Science
Is Python 3 in dynamo use GPU or CPU? - Machine Learning - Dynamo
The Future of GPU Analytics Using NVIDIA RAPIDS and Graphistry - Graphistry
GPU Archives - Shubhanshu Gupta
GitHub - patternedscience/GPU-Analytics-Perf-Tests: A GPU-vs-CPU performance benchmark: (OmniSci [MapD] Core DB / cuDF GPU DataFrame) vs ( Pandas DataFrame / Postgres / PDAL)
Python, Performance, and GPUs. A status update for using GPU… | by Matthew Rocklin | Towards Data Science
Legate Pandas — legate.pandas documentation
Panda Map Reduce Framework on GPUs and CPUs
NVIDIA's Answer: Bringing GPUs to More Than CNNs - Intel's Xeon Cascade Lake vs. NVIDIA Turing: An Analysis in AI
Talk/Demo: Supercharging Analytics with GPUs: OmniSci/cuDF vs Postgres/ Pandas/PDAL | Masood Khosroshahy (Krohy) — Senior Solution Architect (AI & Big Data)
Nvidia Rapids : Running Pandas on GPU | What is Nvidia Rapids
python - Paralleize Pandas df.iterrows() by GPU kernel - Stack Overflow
Here's how you can accelerate your Data Science on GPU - KDnuggets
Beyond Spark/Hadoop ML & Data Science
Minimal Pandas Subset for Data Scientists on GPU | by Rahul Agarwal | Towards Data Science
Welcome to cuDF's documentation! — cudf 22.04.00 documentation
