How has Shenandoah GC changed in recent Java versions?

Shenandoah Garbage Collector (GC) has seen significant enhancements in recent Java versions, particularly since its introduction as an experimental feature in JDK 11 and its stabilization in JDK 14. Key improvements include reduced pause times and optimized memory management, making it more efficient for applications that require low-latency performance.

Among the latest updates, Shenandoah now features:

  • Improved region size management.
  • Enhanced concurrent marking and evacuation processes.
  • Better integration with JVM options for performance tuning.
  • Increased scalability for larger heaps.

These enhancements make Shenandoah a compelling choice for developers looking to minimize garbage collection pauses and improve application responsiveness.

// Example of configuring Shenandoah GC in a Java application public class MyApplication { public static void main(String[] args) { System.out.println("Starting application with Shenandoah GC..."); // JVM flags to enable Shenandoah GC // -XX:+UseShenandoahGC -XX:ShenandoahMaxRegionSize=32m } }

Shenandoah GC Java Garbage Collector Low-latency JVM Performance Tuning

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?