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SPARK + AI SUMMIT 2019
Accelerating Spark MLlib and DataFrame with Vector Processor "SX-Aurora TSUBASA"
Supercomputing 2018 (SC18) HandsOn Resources
Resources at Supercomputing 2018 hands-on about NEC SX-Aurora Tsubasa Vectorizing Compiler
Machine Learning Library:
The participants can use machine learning library called Frovedis which specially developed for SX-Aurura TSUBASA.
The top README.md tells you what Frovedis is, how to install it in your system.
There is Python/Spark interface for Frovedis functions.
The tutorial guides you to use the interface quickly. It includes how to set environmental variables before execution, how to write code with python/spark interface to perform matrix operation, machine learning, dataframe functionalities supported by Frovedis
There are scripts to measure the time to run machine learning with Frovedis and scikit-learn. Also it has tips to improve the runtime performance. Click here