Accelerating Apache Spark with GPUs Using RAPIDS
Offered By: Databricks via YouTube
Course Description
Overview
Explore GPU acceleration for Apache Spark in this 36-minute talk from Databricks. Learn about RAPIDS, a GPU-accelerated toolkit for data science workloads, and its integration with Spark. Discover how RAPIDS provides a drop-in replacement for popular data science libraries, enabling large-scale computation with minimal code changes. Understand the functionality, architecture, and performance benefits of RAPIDS, which can offer several orders of magnitude acceleration compared to CPU-only alternatives. Gain insights into how GPU acceleration, traditionally used in scientific computing and AI, is now revolutionizing data science workflows on the Databricks Unified Analytics Platform.
Syllabus
Introduction
Whats Rapid
Getting Started
DataFrame
MLML
K carafe
XEBook
Yaxis
Rapid AI
Demo
Taught by
Databricks
Related Courses
Machine Learning with RAPIDS - Accelerating Data Science WorkflowsNvidia via YouTube RAPIDS - The Platform Inside and Outside - Joshua Patterson - ODSC East 2019
Open Data Science via YouTube High-Speed Pandas on GPU in AWS Cloud with RAPIDS and NVIDIA NGC
Jeff Heaton via YouTube Advancing GPU Analytics with RAPIDS Accelerator for Apache Spark and Alluxio
Databricks via YouTube Meet MySQL RAPID - Distributed, In-Memory, Columnar, Query Processing Engine by ORACLE
Hussein Nasser via YouTube