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Wednesday, February 12 • 1:00pm - 1:50pm
CANCELLED - PRO WORKSHOP: High Performance Data Analytics/Machine Learning Reference Stack Delivering 8x Faster Results LIMITED

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Limited Capacity seats available

The amount of data produced in every minute makes it challenging to store, manage, utilize, and analyze it faster. Companies like Intel are building hardware accelerators to boost software application performance significantly. However, not many big data applications are really known them or optimizing to use it. We created an Opensource DARS (Data Analytics Reference Stack) (https://clearlinux.org/stacks/data-analytics-stack-v1) based on open source Clear Linux, and well utilizes the hardware accelerated libraries in the big data service stack.
The DARS comprises of Apache Spark, Apache Hadoop, OpenJDK and utilizes both MKL, OpenBLAS math libraries all built on ClearLinux and complete stack includes ClearLinux OS along with containerized environment images such as Docker images. This end-end optimized stack delivers up to 8x performance gain in machine learning workloads. We will also cover how to use the optimized stack, replicate on your production environments and present the performance results.

DeveloperWeek Speakers
avatar for Devaraj Kavali

Devaraj Kavali

Software Engineer, Intel Corporation
Devaraj Kavali is currently working a software engineer with Intel Corporation and has been working on designing and developing of large scale distributed systems for more than 10 years. He is also an Apache Hadoop Committer & PMC member.

David Esparza Borquez

Systems Engineer, Intel Corporation
David works as software engineer on developing functional testing for Intel Stacks team at Intel Corporation.He’s Data Analytics Reference Stack and Media Analytics Reference Stack contributor.

Wednesday February 12, 2020 1:00pm - 1:50pm PST
DeveloperWeek PRO Stage B (Grand Ballroom)