Back close

A Study of Scheduler Performance Analysis of Spark Enabled GPU Cluster

Publication Type : Conference Paper

Publisher : International Conference On Smart Technologies For Smart Nation .

Source : International Conference On Smart Technologies For Smart Nation (SmartTechCon2017), Reva University, Bengaluru (2017)

Campus : Bengaluru

School : School of Engineering

Department : Computer Science

Year : 2017

Abstract : 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.

Cite this Research Publication : A. S. Nayanar and Bhargavi R. Upadhyay, “A Study of Scheduler Performance Analysis of Spark Enabled GPU Cluster”, in International Conference On Smart Technologies For Smart Nation (SmartTechCon2017), Reva University, Bengaluru, 2017.

Admissions Apply Now