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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/5667
Title: Man vs. Machine : Comparing Handwritten and Compiler-generated Application-Level Checkpointing
Authors: Ezick, James
Marques, Daniel
Pingali, Keshav
Stodghill, Paul
Keywords: computer science
technical report
Issue Date: 12-Oct-2004
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cis/TR2004-1967
Abstract: The contributions of this paper are the following. We describe the implementation of the $C^3$ system for semi-automatic application-level checkpointing of C programs. The system has (i) a pre-compiler that instruments C programs so that they can save their states at program execution points specified by the user, and (ii) a novel memory allocator that manages the heap as a collection of pools. We describe two static analyses for reducing the overhead of saving and restoring the application state. The first one optimizes stack variables, while the second one optimizes heap data structures. To benchmark our system, we compare the overheads introduced by our semi-automatic approach with the overhead of handwritten application-level checkpointing in an n-body code written by Joshua Barnes. Except for very small problem sizes, these overheads are comparable. We highlight various algorithmic challenges in the optimization of application-level checkpointing that should provide grist for the mills of the PLDI community.
URI: http://hdl.handle.net/1813/5667
Appears in Collections:Computing and Information Science Technical Reports

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