ramakrishna nishtala

Introduction Arm technology now powers a broad spectrum of on-premises and cloud server workloads. Building on Ampere Computing's previous reference architecture, which demonstrated that Apache Spark on Ampere Altra – 128C (Ampere Altra 128 Cores) processors delivers superior performance per rack, lower power consumption, and optimized CapEx and OpEx, this paper evaluates and extends that analysis to showcase Spark performance on the latest generation of AmpereOne® M processors. Scope and Audience This document describes the process of setting up, tuning, and evaluating Spark performance using a testbed powered by AmpereOne® M processors. It includes a comparative analysis of the performance benefits of the 12-channel AmpereOne® M processors relative to their predecessors, specifically Ampere Altra – 128C processors. Additionally, the paper examines the Spark performance improvements achieved by using a 64KB page-size kernel over standard 4KB page-size kernels.

Ampere processors with Arm architecture deliver superior power efficiency and cost advantages compared to traditional x86 architecture. Hadoop, with its core components and broader ecosystem, is fully compatible with Arm-based platforms.  Ampere Computing has previously published a comprehensive reference architecture demonstrating Hadoop deployments on Ampere® Altra® M processors. This paper builds on that foundation and extends the analysis by highlighting Hadoop performance on the next generation of AmpereOne® M processor.