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GTC ON-DEMAND

Accelerated Data Science
Presentation
Media
Effective, Scalable Multi-GPU Joins
Abstract:
Most large companies use online analytical processing (OLAP) to gain insight from available data and guide business decisions. To support time-critical business decisions, companies must answer queries as quickly as possible. For OLAP, the performance bottlenecks are joins of large relations. GPUs can significantly accelerate these joins, but often the speed or memory capacity of a single GPU is not sufficient to join input tables or unable to do it quickly enough. We'll discuss how we're addressing these problems by proposing join algorithms that scale to multiple GPUs.
 
Topics:
Accelerated Data Science, Performance Optimization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9557
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