Using lifetime predictors to improve memory allocation performance
PLDI '93 Proceedings of the ACM SIGPLAN 1993 conference on Programming language design and implementation
Garbage collection: algorithms for automatic dynamic memory management
Garbage collection: algorithms for automatic dynamic memory management
Generational stack collection and profile-driven pretenuring
PLDI '98 Proceedings of the ACM SIGPLAN 1998 conference on Programming language design and implementation
Segregating heap objects by reference behavior and lifetime
Proceedings of the eighth international conference on Architectural support for programming languages and operating systems
Proceedings of the 2nd international symposium on Memory management
Exploiting prolific types for memory management and optimizations
POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
OOPSLA '01 Proceedings of the 16th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Understanding the connectivity of heap objects
Proceedings of the 3rd international symposium on Memory management
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Generation Scavenging: A non-disruptive high performance storage reclamation algorithm
SDE 1 Proceedings of the first ACM SIGSOFT/SIGPLAN software engineering symposium on Practical software development environments
Oil and Water? High Performance Garbage Collection in Java with MMTk
Proceedings of the 26th International Conference on Software Engineering
IBM Systems Journal
Dynamic object sampling for pretenuring
Proceedings of the 4th international symposium on Memory management
Dynamic pretenuring schemes for generational garbage collection
ISPASS '04 Proceedings of the 2004 IEEE International Symposium on Performance Analysis of Systems and Software
On the Prediction of Java Object Lifetimes
IEEE Transactions on Computers
ACM Transactions on Programming Languages and Systems (TOPLAS)
Proceedings of the 6th international symposium on Memory management
Modeling, analysis and throughput optimization of a generational garbage collector
Proceedings of the 2009 international symposium on Memory management
Scalability limitations when running a Java web server on a chip multiprocessor
Proceedings of the 3rd Annual Haifa Experimental Systems Conference
Headroom-based pretenuring: dynamically pretenuring objects that live "long enough"
Proceedings of the 8th International Conference on the Principles and Practice of Programming in Java
Understanding the impact of collection contracts on design
TOOLS'10 Proceedings of the 48th international conference on Objects, models, components, patterns
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Object pretenuring involves the identification of long-lived objects at or before their instantiation. It is a key optimization for generational garbage collection systems, which are standard in most high performance Java virtual machines. This paper presents a new study of factors that are used to indicate object lifespans. We adopt the information theory measurement of normalized mutual information to compare these various different factors in a common framework. A study of garbage collection traces from four standard Java benchmark programs shows that there is high dependence on some of these factors such as allocation site and object type. We also identify and measure new factors based on object-oriented metrics.