A study of scheduler performance analysis in spark enabled GPU cluster
Aparna S Nayanar, Bhargavi R. Upadhyay · 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon) · 2017
Apache Spark is an open source cluster computing framework used for big data processing. Apache Spark works efficiently for processing large amounts of data than a Map reduce program. Apache Spark applications run programs 100 times faster than Hadoop in memory. The performance of the Spark applications is further increased using the GPU integration. The schedulers also play a vital role in the performance. This work focuses on the performance analysis of the current schedulers of Spark enabled GPU cluster.