Partial evaluation and automatic program generation
Partial evaluation and automatic program generation
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
VCODE: a retargetable, extensible, very fast dynamic code generation system
PLDI '96 Proceedings of the ACM SIGPLAN 1996 conference on Programming language design and implementation
Annotation-directed run-time specialization in C
PEPM '97 Proceedings of the 1997 ACM SIGPLAN symposium on Partial evaluation and semantics-based program manipulation
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)
A Uniform Approach for Compile-Time and Run-Time Specialization
Selected Papers from the Internaltional Seminar on Partial Evaluation
Automatic, Template-Based Run-Time Specialization: Implementation and Experimental Study
ICCL '98 Proceedings of the 1998 International Conference on Computer Languages
Efficient data driven run-time code generation
LCR '04 Proceedings of the 7th workshop on Workshop on languages, compilers, and run-time support for scalable systems
An Effective Automated Approach to Specialization of Code
Languages and Compilers for Parallel Computing
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Code specialization is an approach that can be used to improve the sequence of optimizations to be performed by the compiler. The performance of code after specialization may vary, depending upon the structure of the application. For FFT libraries, the specialization of code with different parameters may cause an increase in code size, thereby impacting overall behavior of applications executing in environment with small instruction caches. In this article, we propose a new approach for specializing FFT code that can be effectively used to improve performance while limiting the code increase by incorporating dynamic specialization. Our approach makes use of a static compile time analysis and adapts a single version of code to multiple values through runtime specialization. This technique has been applied to different FFT libraries over Itanium IA-64 platform using icc compiler v 9.0. For highly efficient libraries, we are able to achieve speedup of more than 80% with small increase in code size.