Parallel Garbage Collector

URI: https://gptkb.org/entity/Parallel_Garbage_Collector
GPTKB entity
Statements (57)
Predicate Object
gptkbp:instance_of gptkb:Company
gptkbp:bfsLayer 5
gptkbp:bfsParent gptkb:JEP_318
gptkb:JEP_189
gptkb:ZGC
gptkbp:can_be_used_with other collectors
gptkbp:competes_with gptkb:Concurrent_Mark-Sweep_Collector
gptkbp:developed_by gptkb:Sun_Microsystems
https://www.w3.org/2000/01/rdf-schema#label Parallel Garbage Collector
gptkbp:improves throughput
gptkbp:introduced gptkb:Java_1.4
gptkbp:is_analyzed_in performance analysis tools
profiling tools
gptkbp:is_available_on gptkb:Java_1.4
gptkbp:is_compared_to gptkb:G1_Garbage_Collector
gptkbp:is_considered a stop-the-world collector
gptkbp:is_designed_for gptkb:video_game
gptkbp:is_documented_in Java documentation
gptkbp:is_evaluated_by performance metrics
scalability
benchmark tests
gptkbp:is_implemented_in gptkb:language
gptkbp:is_integrated_with gptkb:Java_Enhancement_Proposal
gptkbp:is_opposed_by gptkb:Serial_Garbage_Collector
gptkbp:is_optimized_for multi-core processors
large heaps
gptkbp:is_part_of gptkb:software
Java memory management
Java performance tuning
Java runtime environment
Java application performance
Garbage Collection strategies
Java optimization techniques
gptkbp:is_supported_by gptkb:Java_community
gptkbp:is_tested_for stress testing
memory leaks
gptkbp:is_used_in enterprise applications
server applications
gptkbp:is_used_to manage memory
reduce memory fragmentation
gptkbp:is_utilized_in cloud computing environments
large-scale applications
gptkbp:performed_by mark-and-sweep algorithm
gptkbp:reduces pause times
gptkbp:setting gptkb:Java_8
JVM options
heap size settings
-XX:+ Use Parallel GC
high memory usage
gptkbp:suitable_for real-time systems
low-latency applications
high-throughput applications
batch processing systems
gptkbp:supports gptkb:generational_garbage_collection
gptkbp:tuning various parameters
gptkbp:uses multiple threads
gptkbp:works_with heap memory