Iterative modulo scheduling: an algorithm for software pipelining loops
MICRO 27 Proceedings of the 27th annual international symposium on Microarchitecture
Tempo: specializing systems applications and beyond
ACM Computing Surveys (CSUR) - Special issue: electronic supplement to the September 1998 issue
C and tcc: a language and compiler for dynamic code generation
ACM Transactions on Programming Languages and Systems (TOPLAS)
OCEANS: Optimising Compilers for Embedded Applications
Euro-Par '98 Proceedings of the 4th International Euro-Par Conference on Parallel Processing
Compiler optimization-space exploration
Proceedings of the international symposium on Code generation and optimization: feedback-directed and runtime optimization
Automatically Tuned Linear Algebra Software
Automatically Tuned Linear Algebra Software
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Code specialization is a way to obtain significant improvement in the performance of an application. It works by exposing values of different parameters in source code. The availability of these specialized values enables the compilers to generate better optimized code. Although most of the efficient source code implementations contain specialized code to benefit from these optimizations, the real impact of specialization may however vary depending upon the value of the specializing parameter. In this paper, we suggest the specialization of code to acquire an iterative approach. For some specialized code, we search for a better version of code by re-specializing the code, followed by a low-level code analysis. The specialized versions fulfilling the required criteria are then transformed to generate another equivalent version of the original specialized code. The approach has been tested on Itanium-II architecture using icc compiler. The results show significant improvement in the performance of different behchmarks.