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1
Intro
2
Background
3
Data in Memory
4
Why Java
5
Data structures
6
NUMA
7
Perspective
8
GC Strategies
9
G1 Architecture
10
G1 GC Overview
11
Young Generation
12
Mixed Collection
13
Concurrent Marking
14
G1 Scale
15
Threads getting flooded
16
Benchmark
17
Improved Marking Threads
18
Improved Work Balance
19
Conclusion
20
Parallel Application
Description:
Explore the advancements in Java 9's garbage collection for large memory applications in this 52-minute conference talk from Devoxx. Delve into the collaboration between ActiveViam's Product Center and Oracle's JVM team, uncovering improvements that enable better handling of extensive data sets. Learn about in-memory data structures, NUMA architecture, and various garbage collection strategies, with a focus on G1 GC. Examine the G1 architecture, including young generation and mixed collection processes, as well as concurrent marking techniques. Discover how Java 9 addresses scaling issues, improves marking threads, and enhances work balance. Gain insights into benchmarking results and the implications for parallel applications, equipping yourself with knowledge to optimize large-scale Java projects.

Java 9 - The Quest for Very Large Heaps

Devoxx
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