Enhanced code compression for embedded RISC processors
Proceedings of the ACM SIGPLAN 1999 conference on Programming language design and implementation
Evaluation of a high performance code compression method
Proceedings of the 32nd annual ACM/IEEE international symposium on Microarchitecture
Compiler techniques for code compaction
ACM Transactions on Programming Languages and Systems (TOPLAS)
Profile-guided code compression
PLDI '02 Proceedings of the ACM SIGPLAN 2002 Conference on Programming language design and implementation
Linkers and Loaders
Using Slicing to Identify Duplication in Source Code
SAS '01 Proceedings of the 8th International Symposium on Static Analysis
An overview of the BlueGene/L Supercomputer
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Effective, Automatic Procedure Extraction
IWPC '03 Proceedings of the 11th IEEE International Workshop on Program Comprehension
Survey of code-size reduction methods
ACM Computing Surveys (CSUR)
Reducing code size with echo instructions
Proceedings of the 2003 international conference on Compilers, architecture and synthesis for embedded systems
Profile-Driven Selective Code Compression
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Profile-driven code unloading for resource-constrained JVMs
Proceedings of the 3rd international symposium on Principles and practice of programming in Java
An API for Runtime Code Patching
International Journal of High Performance Computing Applications
Simultaneously improving code size, performance, and energy in embedded processors
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Compiler help for binary manipulation tools
Euro-Par'12 Proceedings of the 18th international conference on Parallel processing workshops
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Complex software systems use many shared libraries frequently composed of large off-the-shelf components. Only a limited number of functions are used from these shared libraries. Historically demand paging prevented this from wasting large amounts of memory. Many high end systems lack virtual memory and thus must load the entire shared library into each node's memory. In this paper we propose a system which decreases the memory footprint of applications by selectively loading only the used portions of the shared libraries. After profiling executables and shared libraries, our system rewrites all target shared libraries with a new function ordering and updated ELF program headers so that the loader only loads those functions that are likely to be used by a given application and includes a fallback user-level paging system to recover in the case of failures in our analysis. We present a case study that shows our system achieves more than 80% reduction in the number of pages that are loaded for several HPC applications while causing no performance overhead for reasonably long running programs.