Boosting Java Performance in Big Data Applications

Kumar_Shiv, Rahul Kandu

13 Mar 2018CPOL7 min read

12.5K

Boosting Java Performance in Big Data Applications

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Kumar_Shiv

United States

Dr. Shiv is passionate about making fast computer systems go faster. He has led the performance optimization of Java Virtual Machines for Server and Android, improved the performance of anti-virus software, established teams to optimize scripting languages like PHP and Python and influenced the architecture of several Intel products. He is currently helping to drive cloud and data center architecture through benchmark creation, analysis, modeling and simulation paying particular attention to Artificial Intelligence/Deep Learning and Big Data usage models.

Written By

Rahul Kandu

United States

Rahul Kandu is a senior software engineer in the Intel Software and Services Group (SSG). He focuses on Java runtime, Big Data and SOC performance analysis and Open JDK related optimizations. He specializes in workload characterization and system performance analysis.

Boosting Java Performance in Big Data Applications

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