How to accelerate Spark workloads with GPUs

Machine Learning with Apache Spark

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Apache Spark has become one of the premier frameworks for developing in-memory distributed analytics workloads. But what if you could speed up the transactions of your Spark applications?

This in-depth webcast explores how the high memory bandwidth and high-compute capabilities of GPUs make them ideal for accelerating I/O intensive Spark workloads.

Click inside now to learn the 3 approaches to Spark acceleration, as well as some of the pros and cons of this process.

 

Vendor:
IBM
Premiered:
Mar 14, 2018, 01:11 EDT (05:11 GMT)
Format:
Video
Type:
Webcast
Language:
English
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