Session

Tracing the Path of a Row Through a GPU-Enabled Query Engine on the Grace-Blackwell Architecture

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Overview

Tuesday

June 10

10:20 am

ExperienceIn Person
TypeBreakout
TrackData Lakehouse Architecture and Implementation
IndustryEnterprise Technology
TechnologiesApache Spark
Skill LevelIntermediate
Duration40 min

Grace-Blackwell is NVIDIA’s most recent GPU system architecture. It addresses a key concern of query engines: fast data access. In this session, we will take a close look at how GPUs can accelerate data analytics by tracing how a row flows through a GPU-enabled query engine.Query engines read large data from CPU memory or from disk. On Blackwell GPUs, a query engine can rely on hardware-accelerated decompression of compact formats. The Grace-Blackwell system takes data access performance even further, by reading data at up to 450 GB/s across its CPU to GPU interconnect.

 

We demonstrate full end-to-end SQL query acceleration using GPUs in a prototype query engine using industry standard benchmark queries.

 

We compare the results to existing CPU solutions.Using Apache Spark™ and the RAPIDS Accelerator for Apache Spark, we demonstrate the impact GPU acceleration has on the performance of SQL queries at the 100TB scale using NDS, a suite that simulates real-world business scenarios.

Session Speakers

Clemens Lutz

/Senior Developer Technology Engineer
NVIDIA

Thomas Graves

/Principal Systems Software Engineer
NVIDIA