Scheduling Byte Code-Defined Data Dependence Graphs of Object Oriented Programs

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International Conference on Parallel Computing in Electrical Engineering, (PARELEC'04)

Dresden, Germany

September 07-September 10

ISBN: 0-7695-2080-4

	ASCII Text	x
	Eryk Laskowski, Richard Olejnik, Bernard Toursel, Marek Tudruj, "Scheduling Byte Code-Defined Data Dependence Graphs of Object Oriented Programs," Parallel Computing in Electrical Engineering, International Conference on, pp. 398-401, International Conference on Parallel Computing in Electrical Engineering, (PARELEC'04), 2004.

	BibTex	x
	@article{ 10.1109/PCEE.2004.63, author = {Eryk Laskowski and Richard Olejnik and Bernard Toursel and Marek Tudruj}, title = {Scheduling Byte Code-Defined Data Dependence Graphs of Object Oriented Programs}, journal ={Parallel Computing in Electrical Engineering, International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2080-4}, pages = {398-401}, doi = {http://doi.ieeecomputersociety.org/10.1109/PCEE.2004.63}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Parallel Computing in Electrical Engineering, International Conference on TI - Scheduling Byte Code-Defined Data Dependence Graphs of Object Oriented Programs SN - 0-7695-2080-4 SP398 EP401 A1 - Eryk Laskowski, A1 - Richard Olejnik, A1 - Bernard Toursel, A1 - Marek Tudruj, PY - 2004 KW - null VL - 0 JA - Parallel Computing in Electrical Engineering, International Conference on ER -

Eryk Laskowski, Institute of Computer Science PAS, Warsaw, Poland

Richard Olejnik, Universit? des Sciences et Technologies de Lille

Bernard Toursel, Universit? des Sciences et Technologies de Lille

Marek Tudruj, Institute of Computer Science PAS, Warsaw, Poland

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PCEE.2004.63

This paper presents pre-optimization methods for distributed Java applications on Java Virtual Machines (JVMs), which reduce program execution time. On the basis of an analysis the byte code compiled for a program, an extended macro data flow graph is generated. To this graph clustering and scheduling algorithms are applied based on modified DSC heuristics. The algorithms define distribution of clusterized nodes and objects on JVMs, so as to reduce the total execution time of programs. The nodes of the macro data flow graph are distributed to different JVMs as dynamic threads of distributed objects by modification of the program byte code without modifications of Java virtual machines.

Citation:

Eryk Laskowski, Richard Olejnik, Bernard Toursel, Marek Tudruj, "Scheduling Byte Code-Defined Data Dependence Graphs of Object Oriented Programs," parelec, pp.398-401, International Conference on Parallel Computing in Electrical Engineering, (PARELEC'04), 2004

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