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52:57
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Priming Java for Speed at Market Open

Posted by Gil Tene  on  Jul 22, 2015 Posted by Gil Tene Follow 2 Followers  on  Jul 22, 2015

Gil Tene provides an overview of JIT compiler optimization techniques and their impact on common market-open slowdown scenarios.

09:41
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Cybertron: Pushing the Limit on I/O Reduction in Data-Parallel Programs

Posted by Tian Xiao  on  May 29, 2015 Posted by Tian Xiao Follow 0 Followers , Jiaxing Zhang Follow 0 Followers , Chencheng Ye Follow 0 Followers , Wenguang Chen Follow 0 Followers , Zhenyu Guo Follow 0 Followers , Hucheng Zhou Follow 0 Followers , Xu Zhao Follow 0 Followers , Xi Wang Follow 0 Followers , Wei Lin Follow 0 Followers , Lidong Zhou Follow 0 Followers  on  May 29, 2015

The authors introduce Cybertron, a new tool for reducing I/O operations in data-parallel programs through a constraint-based encoding.

01:01:23
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Performance Tuning in the Trenches

Posted by Donald Belcham  on  May 23, 2015 Posted by Donald Belcham Follow 0 Followers  on  May 23, 2015

Donald Belcham shares from his experience tuning the performance of a system in a short time.

01:30:19
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Performance Tuning Grails Applications

Posted by Lari Hotari  on  Mar 29, 2015 Posted by Lari Hotari Follow 0 Followers  on  Mar 29, 2015

Lari Hotari discusses how to optimize Grails' performance to get full benefits from it.

47:56
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Java Performance Panel

Posted by Todd Montgomery  on  Mar 22, 2015 Posted by Todd Montgomery Follow 3 Followers , Gil Tene Follow 2 Followers , Charles Humble Follow 15 Followers , Mike Barker Follow 0 Followers , Tal Weiss Follow 0 Followers  on  Mar 22, 2015

The panelists discuss Java performance topics, bringing their specific experiences to bear.

01:23:00
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Using a Graph Database for JVM Heap Analysis

Posted by James Richardson  on  Mar 19, 2015 2 Posted by James Richardson Follow 0 Followers , Nat Pryce Follow 1 Followers  on  Mar 19, 2015 2

James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.

01:24:19
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Spring Batch Performance Tuning

Posted by Gunnar Hillert  on  Feb 14, 2015 Posted by Gunnar Hillert Follow 0 Followers , Chris Schaefer Follow 0 Followers  on  Feb 14, 2015

Gunnar Hillert and Chris Schaefer examine various scalability options in order to improve the robustness and performance of the Spring Batch applications.

01:33:30
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Tuning Large Scale Java Platforms

Posted by Emad Benjamin  on  Nov 07, 2014 Posted by Emad Benjamin Follow 0 Followers , Jamie O'Meara Follow 0 Followers  on  Nov 07, 2014

The session covers various GC tuning techniques, in particular focusing on tuning large scale JVM deployments and showing how to optimally size a platform for enhanced memory consumption.

01:21:50
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Threads, Needles, Stacks, Heaps

Posted by Ovidiu Dimulescu  on  Sep 26, 2014 Posted by Ovidiu Dimulescu Follow 0 Followers  on  Sep 26, 2014

Ovidiu Dimulescu provides tips for working with local and remote JVMs, startup flags, analyzing and correlating thread dumps with CPU consumption, instrumentation, multi-tenant JVMs, memory games, etc

50:35
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Are Your G1GC Logs Speaking to You?

Posted by Kirk Pepperdine  on  Aug 24, 2014 Posted by Kirk Pepperdine Follow 0 Followers  on  Aug 24, 2014

Kirk Pepperdine explains how to use the G1GC logging to improve app performance while reducing its hardware footprint.

46:59
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Mobile Web Performance - Getting & Staying Fast!

Posted by Andy Davies  on  Aug 10, 2014 Posted by Andy Davies Follow 0 Followers , Aaron Peters Follow 0 Followers  on  Aug 10, 2014

Andy Davies, Aaron Peters present how networks, browsers and the way sites are built affect user experience, and take a look at some of the latest techniques for measuring and improving performance.

49:07
Followers

Priming Java for Speed at Market Open

Posted by Gil Tene  on  Aug 03, 2014 Posted by Gil Tene Follow 2 Followers  on  Aug 03, 2014

Sponsored by Azul. Gil Tene discusses issues with dynamically optimized environments used for trading systems along with techniques for dealing with them, including JVM performance tune up tricks.

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