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Intro
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RAPIDS GPU Accelerated Data Analytics in Python
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Data Processing Evolution Faster data access, less data movement
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Data Movement and Transformation What if we could keep data on the GPU?
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Faster Speeds, Real-World Benefits
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Speed, Ease of use, and Iteration The Way to Win a Data Science
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Open Source Data Science Ecosystem Familiar Python APIs
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RAPIDS End-to-End Accelerated GPU Data Science
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RAPIDS GPU Accelerated data wrangling and feature engineering
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ETL Technology Stack
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Benchmarks: single-GPU Speedup vs. Pandas
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ETL: the Backbone of Data Science String Support
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Extraction is the Cornerstone CUDF I/O for Faster Data Loading
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ML Technology Stack
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RAPIDS matches common Python APIs
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RAPIDS RELEASE SELECTOR
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Forest Inference Taking models from training to production
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Goals and Benefits of cuGraph Focus on Features and User Experience
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Graph Technology Stack
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Algorithms GPU accelerated Network
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Multi-GPU PageRank Performance PageRank portion of the HiBench benchmark suite
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cuSpatial Technology Stack
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Speed of Light Performance - V100
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Efficient Memory Handling
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Marriage of Deep Learning and RF Data
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CLX Cyber Log Accelerators
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CLX Components Notebook Examples, SIEM Integrations, Workflows, Primitives
Description:
Explore GPU-accelerated data analytics in Python through this comprehensive workshop from PyCon US. Learn about RAPIDS, an open-source library suite that enables data scientists to leverage GPU acceleration for ETL, machine learning, and graph analytics workloads using familiar Python APIs. Discover how to speed up compute times and increase model iteration without requiring specialized GPGPU programming knowledge. Dive into component libraries like cuDF, cuML, cuGraph, cuSignal, cuSpatial, and the Cyber Log Accelerator. Gain insights into data processing evolution, real-world benefits of GPU acceleration, and integration with the broader open-source GPU data science ecosystem. Suitable for those with basic data science knowledge, no prior GPU programming experience required.

GPU-Accelerated Data Analytics in Python

PyCon US
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Intro