research-article

new Scala() instance of Java: a comparison of the memory behaviour of Java and Scala programs

Authors:

Aibek Sarimbekov,

Danilo Ansaloni,

Samuel Z. GuyerAuthors Info & Claims

ISMM '12: Proceedings of the 2012 international symposium on Memory Management

Pages 97 - 108

https://doi.org/10.1145/2258996.2259010

Published: 15 June 2012 Publication History

Abstract

While often designed with a single language in mind, managed runtimes like the Java virtual machine (JVM) have become the target of not one but many languages, all of which benefit from the runtime's services. One of these services is automatic memory management. In this paper, we compare and contrast the memory behaviour of programs written in Java and Scala, respectively, two languages which both target the same platform: the JVM. We both analyze core object demographics like object lifetimes as well as secondary properties of objects like their associated monitors and identity hash-codes. We find that objects in Scala programs have lower survival rates and higher rates of immutability, which is only partly explained by the memory behaviour of objects representing closures or boxed primitives. Other metrics vary more by benchmark than language.

References

[1]

O. Agesen, D. Detlefs, A. Garthwaite, R. Knippel, Y. Ramakrishna, and D. White. An efficient meta-lock for implementing ubiquitous synchronization. Technical report, Sun Microsystems, Inc., 1999.

Digital Library

[2]

D. Bacon, S. Fink, and D. Grove. Space- and time-efficient implementation of the Java object model. In Proceedings of the European Conference on Object-Oriented Programming (ECOOP), 2006.

Digital Library

[3]

D. F. Bacon, R. Konuru, C. Murthy, and M. Serrano. Thin locks: featherweight synchronization for Java. In Proceedings of the Conference on Programming Language Design and Implementation (PLDI), 1998.

Digital Library

[4]

VanDrunen, von Dincklage, and Wiedermann}Blackburn:2006:dacapoS. M. Blackburn, R. Garner, C. Hoffmann, A. M. Khang, K. S. McKinley, R. Bentzur, A. Diwan, D. Feinberg, D. Frampton, S. Z. Guyer, M. Hirzel, A. Hosking, M. Jump, H. Lee, J. E. B. Moss, B. Moss, A. Phansalkar, D. Stefanović, T. VanDrunen, D. von Dincklage, and B. Wiedermann. The DaCapo benchmarks: Java benchmarking development and analysis. In Proceedings of the 21st Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2006.

Digital Library

[5]

J. Bloch. Effective Java. Sun Microsystems, Inc., 2nd edition, 2008.

[6]

S. Dieckmann and U. Hölzle. A study of the allocation behavior of the SPECjvm98 Java benchmarks. In Proceedings of the European Conference on Object-Oriented Programming (ECCOP), 1999.

Digital Library

[7]

I. Dragos. Compiling Scala for performance. PhD thesis, École polytechnique fédérale de Lausanne, 2010.

[8]

B. Dufour, K. Driesen, L. Hendren, and C. Verbrugge. Dynamic metrics for Java. In Proceedings of the 18th Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2003.

Digital Library

[9]

B. Dufour, C. Goard, L. Hendren, O. de Moor, G. Sittampalam, and C. Verbrugge. Measuring the dynamic behaviour of AspectJ programs. In Proceedings of the 19th Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2004.

Digital Library

[10]

B. Dufour, B. G. Ryder, and G. Sevitsky. A scalable technique for characterizing the usage of temporaries in framework-intensive Java applications. In Proceedings of the 16th International Symposium on Foundations of Software Engineering (FSE), 2008.

Digital Library

[11]

B. Goetz, T. Peierls, J. Bloch, J. Bowbeer, D. Holmes, and D. Lea. Java Concurrency in Practice. Addison-Wesley Longman Publishing Co., Inc., 2006.

Digital Library

[12]

J. Gosling, B. Joy, G. Steele, and G. Bracha. Java Language Specification. Addison-Wesley Longman Publishing Co., Inc., 3rd edition, 2005.

Digital Library

[13]

C. Haack and E. Poll. Type-based object immutability with flexible initialization. In Proceedings of the European Conference on Object-Oriented Programming (ECCOP), 2009.

Digital Library

[14]

Hertz:2002:merlinM. Hertz, S. M. Blackburn, J. E. B. Moss, K. S. McKinley, and D. Stefanović. Generating object lifetime traces with Merlin. ACM Transactions on Programming Languages and Systems, 28 (3): 476--516, 2006.

Digital Library

[15]

I. Jibaja, S. Blackburn, M. Haghighat, and K. McKinley. Deferred gratification: Engineering for high performance garbage collection from the get go. In Proceedings of the Workshop on Memory Systems Performance and Correctness (MSPC), 2011.

Digital Library

[16]

R. E. Jones and C. Ryder. A study of Java object demographics. In Proceedings of the 7th International Symposium on Memory management (ISMM), 2008.

Digital Library

[17]

J.-S. Kim and Y. Hsu. Memory system behavior of Java programs: methodology and analysis. In Proceedings of the 2000 ACM SIGMETRICS Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2000.

Digital Library

[18]

T. Lindholm and F. Yellin. Java Virtual Machine Specification. Addison-Wesley Longman Publishing Co., Inc., 2nd edition, 1999.

Digital Library

[19]

L. Marek, A. Villazón, Y. Zheng, D. Ansaloni, W. Binder, and Z. Qi. DiSL: a domain-specific language for bytecode instrumentation. In Proceedings of the 11th International Conference on Aspect-Oriented Software Development (AOSD), 2012.

Digital Library

[20]

M. Odersky, L. Spoon, and B. Venners. Programming in Scala. Artima Press, 2nd edition, 2010.

[21]

I. Pechtchanski and V. Sarkar. Immutability specification and its applications. In Proceedings of the 2002 joint ACM-ISCOPE Conference on Java Grande, 2002.

Digital Library

[22]

F. Pizlo, D. Frampton, and A. L. Hosking. Fine-grained adaptive biased locking. In Proceedings of the 9th International Conference on Principles and Practice of Programming in Java (PPPJ), 2011.

Digital Library

[23]

S. Porat, M. Biberstein, L. Koved, and B. Mendelson. Automatic detection of immutable fields in Java. In Proceedings of the 2000 Conference of the Centre for Advanced Studies on Collaborative Research (CASCON), 2000.

Digital Library

[24]

T. Printezis and R. Jones. GCspy: an adaptable heap visualisation framework. In Proceedings of the 17th Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2002.

Digital Library

[25]

N. P. Ricci, S. Z. Guyer, and J. E. B. Moss. Elephant Tracks: generating program traces with object death records. In Proceedings of the 9th International Conference on Principles and Practice of Programming in Java (PPPJ), 2011.

Digital Library

[26]

K. Russell and D. Detlefs. Eliminating synchronization-related atomic operations with biased locking and bulk rebiasing. In Proceedings of the 21st Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2006.

Digital Library

[27]

A. Sewe, M. Mezini, A. Sarimbekov, and W. Binder. Da Capo con Scala: Design and analysis of a Scala benchmark suite for the Java Virtual Machine. In Proceedings of the 26th Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2011.

Digital Library

[28]

A. Shankar, M. Arnold, and R. Bodik. Jolt: lightweight dynamic analysis and removal of object churn. In Proceedings of the 23rd Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPLSA), 2008.

Digital Library

[29]

X. Yang, S. M. Blackburn, D. Frampton, J. B. Sartor, and K. S. McKinley. Why nothing matters: the impact of zeroing. In Proceedings of the 26th Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2011.

Digital Library

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Sarimbekov AStadler LBulej LSewe APodzimek AZheng YBinder W(2016)Workload characterization of JVM languagesSoftware—Practice & Experience10.1002/spe.233746:8(1053-1089)Online publication date: 1-Aug-2016
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new Scala() instance of Java: a comparison of the memory behaviour of Java and Scala programs

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cover image ACM Conferences

ISMM '12: Proceedings of the 2012 international symposium on Memory Management

June 2012

152 pages

ISBN:9781450313506

DOI:10.1145/2258996

General Chair:
Martin Vechev
ETH Zurich
,
Program Chair:
Kathryn S. McKinley
The University of Texas at Austin and Microsoft Research

ACM SIGPLAN Notices Volume 47, Issue 11
ISMM '12
November 2012
136 pages
ISSN:0362-1340
EISSN:1558-1160
DOI:10.1145/2426642
Issue’s Table of Contents

Copyright © 2012 ACM.

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Published: 15 June 2012

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ISMM '12: International Symposium on Memory Management

June 15 - 16, 2012

Beijing, China

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Overall Acceptance Rate 72 of 156 submissions, 46%

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https://doi.org/10.1109/ICSCSS60660.2024.10625342
Prokopec ARosà ALeopoldseder DDuboscq GTůma PStudener MBulej LZheng YVillazón ASimon DWürthinger TBinder WMcKinley KFisher K(2019)Renaissance: benchmarking suite for parallel applications on the JVMProceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation10.1145/3314221.3314637(31-47)Online publication date: 8-Jun-2019
https://dl.acm.org/doi/10.1145/3314221.3314637
Sarimbekov AStadler LBulej LSewe APodzimek AZheng YBinder W(2016)Workload characterization of JVM languagesSoftware—Practice & Experience10.1002/spe.233746:8(1053-1089)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1002/spe.2337
Zheng YBulej LBinder W(2015)Accurate profiling in the presence of dynamic compilationACM SIGPLAN Notices10.1145/2858965.281428150:10(433-450)Online publication date: 23-Oct-2015
https://dl.acm.org/doi/10.1145/2858965.2814281
Zheng YBulej LBinder WAldrich JEugster P(2015)Accurate profiling in the presence of dynamic compilationProceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications10.1145/2814270.2814281(433-450)Online publication date: 23-Oct-2015
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Marek LZheng YAnsaloni DBulej LSarimbekov ABinder WTuma P(2015)Introduction to dynamic program analysis with DiSLScience of Computer Programming10.1016/j.scico.2014.01.00398:P1(100-115)Online publication date: 1-Feb-2015
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Marek LKell SZheng YBulej LBinder WTůma PAnsaloni DSarimbekov ASewe A(2013)ShadowVMACM SIGPLAN Notices10.1145/2637365.251721949:3(105-114)Online publication date: 27-Oct-2013
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