On transforming Java-like programs into memory-predictable code

The ScopedMemory class of the RTSJ enables the organization of objects into regions. This ensures time-predictable management of dynamic memory. Using scopes forces the programmer to reason in terms of locality, to comply with RTSJ restrictions. The programmer is also faced with the problem of provi...

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Detalles Bibliográficos
Autores principales:	Garbervetsky, D., Yovine, S., Braberman, V., Rouaux, M., Taboada, A.
Formato:	CONF
Materias:	Compile time Dynamic memory Java-like programs Memory management Memory organizations Memory region Memory usage Parametric forms Program variables Run-time errors Semi-automatics Automatic programming Computer software Embedded systems Java programming language Time series analysis Real time systems
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_97816055_v_n_p140_Garbervetsky
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_97816055_v_n_p140_Garbervetsky
record_format	dspace
spelling	todo:paper_97816055_v_n_p140_Garbervetsky2023-10-03T16:44:05Z On transforming Java-like programs into memory-predictable code Garbervetsky, D. Yovine, S. Braberman, V. Rouaux, M. Taboada, A. Compile time Dynamic memory Java-like programs Memory management Memory organizations Memory region Memory usage Parametric forms Program variables Run-time errors Semi-automatics Automatic programming Computer software Embedded systems Java programming language Time series analysis Real time systems The ScopedMemory class of the RTSJ enables the organization of objects into regions. This ensures time-predictable management of dynamic memory. Using scopes forces the programmer to reason in terms of locality, to comply with RTSJ restrictions. The programmer is also faced with the problem of providing upper-bounds for regions. Without appropriate compile-time support, scoped-memory management may lead to unexpected runtime errors. This work presents the integration of a series of compile-time analysis techniques to help identifying memory regions, their sizes, and overall memory usage. First, the tool synthesizes a scoped-based memory organization where regions are associated with methods. Second, it infers their sizes in parametric forms in terms of relevant program variables. Third, it exhibits a parametric upper-bound on the total amount of memory required to run a method. We present some preliminary results showing that semi-automatic, tool-assisted generation of scoped-based code is both helpful and doable. Copyright 2009 ACM. Fil:Garbervetsky, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Braberman, V. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Rouaux, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Taboada, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_97816055_v_n_p140_Garbervetsky
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Compile time Dynamic memory Java-like programs Memory management Memory organizations Memory region Memory usage Parametric forms Program variables Run-time errors Semi-automatics Automatic programming Computer software Embedded systems Java programming language Time series analysis Real time systems
spellingShingle	Compile time Dynamic memory Java-like programs Memory management Memory organizations Memory region Memory usage Parametric forms Program variables Run-time errors Semi-automatics Automatic programming Computer software Embedded systems Java programming language Time series analysis Real time systems Garbervetsky, D. Yovine, S. Braberman, V. Rouaux, M. Taboada, A. On transforming Java-like programs into memory-predictable code
topic_facet	Compile time Dynamic memory Java-like programs Memory management Memory organizations Memory region Memory usage Parametric forms Program variables Run-time errors Semi-automatics Automatic programming Computer software Embedded systems Java programming language Time series analysis Real time systems
description	The ScopedMemory class of the RTSJ enables the organization of objects into regions. This ensures time-predictable management of dynamic memory. Using scopes forces the programmer to reason in terms of locality, to comply with RTSJ restrictions. The programmer is also faced with the problem of providing upper-bounds for regions. Without appropriate compile-time support, scoped-memory management may lead to unexpected runtime errors. This work presents the integration of a series of compile-time analysis techniques to help identifying memory regions, their sizes, and overall memory usage. First, the tool synthesizes a scoped-based memory organization where regions are associated with methods. Second, it infers their sizes in parametric forms in terms of relevant program variables. Third, it exhibits a parametric upper-bound on the total amount of memory required to run a method. We present some preliminary results showing that semi-automatic, tool-assisted generation of scoped-based code is both helpful and doable. Copyright 2009 ACM.
format	CONF
author	Garbervetsky, D. Yovine, S. Braberman, V. Rouaux, M. Taboada, A.
author_facet	Garbervetsky, D. Yovine, S. Braberman, V. Rouaux, M. Taboada, A.
author_sort	Garbervetsky, D.
title	On transforming Java-like programs into memory-predictable code
title_short	On transforming Java-like programs into memory-predictable code
title_full	On transforming Java-like programs into memory-predictable code
title_fullStr	On transforming Java-like programs into memory-predictable code
title_full_unstemmed	On transforming Java-like programs into memory-predictable code
title_sort	on transforming java-like programs into memory-predictable code
url	http://hdl.handle.net/20.500.12110/paper_97816055_v_n_p140_Garbervetsky
work_keys_str_mv	AT garbervetskyd ontransformingjavalikeprogramsintomemorypredictablecode AT yovines ontransformingjavalikeprogramsintomemorypredictablecode AT brabermanv ontransformingjavalikeprogramsintomemorypredictablecode AT rouauxm ontransformingjavalikeprogramsintomemorypredictablecode AT taboadaa ontransformingjavalikeprogramsintomemorypredictablecode
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On transforming Java-like programs into memory-predictable code

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