DCG: an efficient, retargetable dynamic code generation system
ASPLOS VI Proceedings of the sixth international conference on Architectural support for programming languages and operating systems
MICRO 30 Proceedings of the 30th annual ACM/IEEE international symposium on Microarchitecture
Tempo: specializing systems applications and beyond
ACM Computing Surveys (CSUR) - Special issue: electronic supplement to the September 1998 issue
Dynamic specialization in the Fabius system
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)
Dynamo: a transparent dynamic optimization system
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
A Uniform Approach for Compile-Time and Run-Time Specialization
Selected Papers from the Internaltional Seminar on Partial Evaluation
Applying code specialization to FFT libraries for integral parameters
LCPC'06 Proceedings of the 19th international conference on Languages and compilers for parallel computing
A language for the compact representation of multiple program versions
LCPC'05 Proceedings of the 18th international conference on Languages and Compilers for Parallel Computing
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Application performance is heavily dependent on the compiler optimizations. Modern compilers rely largely on the information made available to them at the time of compilation. In this regard, specializing the code according to input values is an effective way to communicate necessary information to the compiler.However, the static specialization suffers from possible code explosion and dynamic specialization requires runtime compilation activities that may degrade the overall performance of the application.This article proposes an automated approach for specializing code that is able to address both the problems of code size increase and the overhead of runtime activities. We first obtain optimized code through specialization performed at static compile time and then generate a template that can work for a large set of values through runtime specialization.Our experiments show significant improvement for different SPECbenchmarks on Itanium-II(IA-64) and Pentium-IV processors using iccand gcccompilers.