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  1. Proceedings of the 18th annual ACM SIGPLAN conference on Object-oriented programing, systems, languages, and applications (OOPSLA '03)
  2. Object equality profiling
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Language-independent aspect-oriented programming
Applying traits to the smalltalk collection classes
Automatic detection and repair of errors in data structures
A first-class approach to genericity
Dynamic metrics for java
HydroJ: object-oriented pattern matching for evolvable distributed systems
Mostly concurrent garbage collection revisited
Declaring and checking non-null types in an object-oriented language
Mark-copy: fast copying GC with less space overhead
Saving the world from bad beans: deployment-time confinement checking
Refactoring for generalization using type constraints
OOPAL: integrating array programming in object-oriented programming
A comparative study of language support for generic programming
How java programs interact with virtual machines at the microarchitectural level
Relaxed MultiJava: balancing extensibility and modular typechecking
An on-the-fly mark and sweep garbage collector based on sliding views
Object equality profiling
Ulterior reference counting: fast garbage collection without a long wait
Language support for lightweight transactions
Partial behavioral reflection: spatial and temporal selection of reification
Lightweight confinement for featherweight java
Effectiveness of cross-platform optimizations for a java just-in-time compiler
MJ: a rational module system for Java and its applications
Heap compression for memory-constrained Java environments
Connectivity-based garbage collection
Lazy modular upgrades in persistent object stores

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Object equality profiling

Content Provider ACM Digital Library
Author Marinov, Darko O'Callahan, Robert
Abstract We present Object Equality Profiling (OEP), a new technique for helping programmers discover optimization opportunities in programs. OEP discovers opportunities for replacing a set of equivalent object instances with a single representative object. Such a set represents an opportunity for automatically or manually applying optimizations such as hash consing, heap compression, lazy allocation, object caching, invariant hoisting, and more. To evaluate OEP, we implemented a tool to help programmers reduce the memory usage of Java programs. Our tool performs a dynamic analysis that records all the objects created during a particular program run. The tool partitions the objects into equivalence classes, and uses collected timing information to determine when elements of an equivalence class could have been safely collapsed into a single representative object without affecting the behavior of that program run. We report the results of applying this tool to benchmarks, including two widely used Web application servers. Many benchmarks exhibit significant amounts of object equivalence, and in most benchmarks our profiler identifies optimization opportunities clustered around a small number of allocation sites. We present a case study of using our profiler to find simple manual optimizations that reduce the average space used by live objects in two SpecJVM benchmarks by 47% and 38% respectively.
Starting Page 313
Ending Page 325
Page Count 13
File Format PDF
ISBN 1581137125
DOI 10.1145/949305.949333
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2003-10-26
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Profiling Space savings Java language Profile-guided optimization Object equality Object mergeability
Content Type Text
Resource Type Article
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