Poster Paper Impact Of Software Stack Version On Micro-architecture

Abstract

Open source Big Data frameworks such as Spark have been evolvingquite rapidly. Many of the changes have addressed improvement inperformance mainly focusing on the performance of the entire job executing on a distributed system. Past studies have reported micro-architectural performance characteristics of benchmarks based onthese Big Data frameworks. Given the rapid changes to these frame-works, it is expected that some of these code changes will also have amicro-architectural impact. In this paper, we present a comparativestudy of performance of Apache Spark across two major revisions and demonstrate that there are micro-architectural differences in the way the applications use the hardware.