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Abstract: The limited built-in configurability of Linux can lead to expensive code size overhead when it is used in the embedded market. To overcome this problem, we propose the application of link-time compaction and specialization techniques that exploit the a priori known, fixed run-time environment of many embedded systems. In experimental setups based on the ARM XScale and i386 platforms, the proposed techniques are able to reduce the kernel memory footprint with over 16%. We also show how... (Update)
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BibTeX entry: (Update)
@misc{ linux-systemwide,
author = "Of The Linux",
title = "System-wide Compaction and Specialization",
url = "citeseer.ist.psu.edu/745947.html" }
Citations (may not include all citations):159 lmbench: Portable tools for performance analysis - McVoy, Staelin - 1996
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11 Combining global code and data compaction - De Sutter, De Bus et al. - 2001
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6 Profile-directed restructuring of operating system code (context) - Schmidt, Roediger et al. - 1998
5 Sifting out the mud: low level C++ code reuse - De Sutter, De Bus et al. - 2002
4 Dynamic kernel code optimization (context) - Tamches, Miller - 2001
4 Post-pass compaction techniques (context) - De Bus, astner et al. - 2003
4 Improving unix kernel performance using profile based optimi.. (context) - Speer, Kumar et al. - 1994
[Article contains additional citations not shown here]
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