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GTC ON-DEMAND

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Abstract:

Starting with a conventional CPU implementation we identify the most time-consuming operations when processing SQL queries, and show how they can be efficiently offloaded to the GPU. Using queries from a variant of the TPC-H benchmark, we offer a deep dive on how to optimally map complex database operations like join to the GPU hardware, such that they achieve up to 90% hardware efficiency and a throughput of >100M records per second. Given data sets that are orders of magnitude larger than GPU memory, the focus of this talk will be on efficient data layout and movement.

Starting with a conventional CPU implementation we identify the most time-consuming operations when processing SQL queries, and show how they can be efficiently offloaded to the GPU. Using queries from a variant of the TPC-H benchmark, we offer a deep dive on how to optimally map complex database operations like join to the GPU hardware, such that they achieve up to 90% hardware efficiency and a throughput of >100M records per second. Given data sets that are orders of magnitude larger than GPU memory, the focus of this talk will be on efficient data layout and movement.

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Topics:
Databases, Data Mining, Business Intelligence
Type:
Talk
Event:
GTC Silicon Valley
Year:
2013
Session ID:
S3190
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