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Java memory management

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Webcast description

Is your Java application not performing well? Are you experiencing unacceptably long response times? Is your system becoming non-responsive from time to time?

 If your application is exhibiting any of these symptoms you should take a closer look at how your JVM’s memory management system is configured.  This Webcast focuses on exposing the internal details of the all four supported automatic memory management policies in the HP JVM for HP-UX.  

Agenda

The content of this Webcast is delivered according to the following agenda:

  • Java and memory management overview
  • Generational garbage collection
  • Internals of supported GC policies on HP-UX
  • GC policy defaults and how are they set
  • Performance analysis and tuning

Audience

This Webcast is intended for software developers and system administrators responsible for improving the performance of applications written in Java.

Objectives

Participants will gain deep understanding of the following:

  • The basic building block on top of which all specialized memory management policies on HP-UX really works.
  • The different memory management policies available on HP-UX, when to use each policy, and how the defaults for each of these policies set.
  • The basic guidelines to follow for ensuring good application performance
  • The tools available on HP-UX for diagnosing and resolving memory management performance related issues.

While this webcast is not intended to cover any Java performance analysis tool in depth, participants will be exposed to the tools available to them on HP-UX 11i, and will gain enough insight into the internals of JVM memory management system to effectively use the tools for diagnosing and resolving memory management related performance issues.

Speaker biography

Noubar Partamian works in the Java Compilers and Tools Lab at HP.  His main focus is Java application performance.  Noubar has extensive experience working with large customers to help them diagnose and resolve performance issues with complex environments.

Pervasive DataRush running on HP-UX 11i v3 and JavaT Platform, Standard Edition 6 (JavaT SE 6) Version 6.0.00 on a 32-core HP Integrity server delivers near-linear scalability across all 32 cores, an exciting performance benchmark for customers who want to tackle massive data-crunching challenges.

— Mike Hoskins
CTO and General Manager
Integration Products for Pervasive Software
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