A Compiler and Runtime Infrastructure for Automatic Program Distribution

Roxana E. Diaconescu, Lei Wang, Zachary Mouri and Matt Chu (2005) A Compiler and Runtime Infrastructure for Automatic Program Distribution. In: IEEE 19th International Parallel & Distributed Processing Symposium (IPDPS2005), 4-8 April, 2005, Denver, Colorado. [CaltechCACR:2005.104]

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Abstract

This paper presents the design and the implementation of a compiler and runtime infrastructure for automatic program distribution. We are building a research infrastructure that enables experimentation with various program partitioning and mapping strategies and the study of automatic distribution's effect on resource consumption (e.g., CPU, memory, communication). Since many optimization techniques are faced with conflicting optimization targets (e.g., memory and communication), we believe that it is important to be able to study their interaction. We present a set of techniques that enable flexible resource modeling and program distribution. These are: dependence analysis, weighted graph partitioning, code and communication generation, and profiling. We have developed these ideas in the context of the Java language. We present in detail the design and implementation of each of the techniques as part of our compiler and runtime infrastructure. Then, we evaluate our design and present preliminary experimental data for each component, as well as for the entire system.

EPrint Type:	Conference or Workshop Item (Paper)
Subjects:	All Records
ID Code:	108
Deposited By:	Sarah M. Emery
Deposited On:	22 August 2005
Record Number:	CaltechCACR:2005.104
Official Persistent URL:	http://resolver.caltech.edu/CaltechCACR:2005.104
Usage Policy:	You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format.

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