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GTC ON-DEMAND

Accelerated Data Science
Presentation
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How to Get the Most out of GPU Accelerated Database Operators
Abstract:
Early on, memory bandwidths, more than an order of magnitude higher than conventional processors have made GPUs an attractive platform for data-intensive applications. While there are many success stories about GPU-accelerated databases built from scratch, GPU-accelerated operations for large-scale, general-purpose databases are rather an exception than the norm. We characterize fundamental database operators like scan, filter, join, and group-by based on their memory access patterns. From these characteristics, we derive their potential for GPU acceleration, such as upper bounds for performance on current and future architectures. Starting from basic GPU implementations, we deep dive into aspects like optimizing data transfers, access, and layout, etc.
 
Topics:
Accelerated Data Science, Performance Optimization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8289
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