Optimizing ML with run-time code generation
PLDI '96 Proceedings of the ACM SIGPLAN 1996 conference on Programming language design and implementation
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POPL '96 Proceedings of the 23rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
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ACM Transactions on Programming Languages and Systems (TOPLAS)
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Optimizing compilers for modern architectures: a dependence-based approach
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IWCC '01 Proceedings of the NATO Advanced Research Workshop on Advanced Environments, Tools, and Applications for Cluster Computing-Revised Papers
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ACM Computing Surveys (CSUR)
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JVM'01 Proceedings of the 2001 Symposium on JavaTM Virtual Machine Research and Technology Symposium - Volume 1
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LCPC'06 Proceedings of the 19th international conference on Languages and compilers for parallel computing
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Knowledge of data values at run-time allows us to generate better code in terms of efficiency, size and power consumption.This paper introduces a low-level compiling technique based on a minimal code generator with parametric embedded sections to generate binary code at run-time. This generator called a "compilet" creates code and allocates registers using the data input. Then, it generates the needed instructions. Our measurements, performed on Itanium 2 and PowerPC platforms have shown a speed improvement of 43% on the Itanium 2 platform and 41% on the PowerPC one.The proposed technique proves to be particularly useful in the case of intensively reused functions in graphic applications, where the advantages of dynamic compilation have not been fully taken into account yet.