Improving performance of optimized kernels through fast instantiations of templates

Concurrency and Computation: Practice and Experience

Volumn 21, Issue 1, 2009, Pages 59-70

  Khan, Minhaj Ahmad ^a   Charles, H P ^a   Barthou, D ^a  

^a LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

Author keywords

Code specialization; Compilation techniques; Optimizations

Indexed keywords

ITERATIVE METHODS; OPTIMIZATION;

CODE SPECIALIZATION; COMPILATION TECHNIQUES; DYNAMIC COMPILATION; EFFECTIVE SOLUTION; IMPROVING PERFORMANCE; INSTRUCTION LEVEL PARALLELISM; ITERATIVE COMPILATION; MODERN PROCESSORS;

PROGRAM COMPILERS;

EID: 58149242194     PISSN: 15320626     EISSN: 15320634     Source Type: Journal    
DOI: 10.1002/cpe.1333     Document Type: Article

References (17)

1. Muth R, Watterson SA, Debray SK. Code specialization based on value profiles. Static Analysis Symposium, London, U.K., 2000; 340-359.
2. Consel C, Hornof L, Marlet R, Muller G, Thibault S, Volanschi. EN. Tempo: Specializing systems applications and beyond. ACM Computing Surveys 1998; 30(3es):19.
3. Poletto M, Hsieh WC, Engler DR, Kaashoek FM. 'c and tec: A language and compiler for dynamic code generation. ACM Transactions on Programming Languages and Systems 1999; 21:324-369.
4. Leone M, Dybvig RK. Dynamo: A staged compiler architecture for dynamic program optimization. Technical Report, Indiana University, 1997.
5. Grant B, Mock M, Phllipose M, Chambers C, Eggers SJ. DyC: An expressive annotation-directed dynamic compiler for c. Technical Report, Department of Computer Science and Engineering, University of Washington, 1999.
6. Khan MA, Charles HP, Barthou D. Reducing code size explosion through low-overhead specialization. Eleventh Annual Workshop on the Interaction Between Compilers and Computer Architecture, Phoenix, U.S.A., 2007.
7. Lu J, Chen H, Yew PC, Hsu WC. Design and implementation of a lightweight dynamic optimization system. Journal of Instruction-Level Parallelism 2004; 6:1-16.
8. Childers BR, Davidson JW, Soffa ML. Continuous compilation: A new approach, to aggressive and adaptive code transformation. JVSF Workshop on Next Generation Software, Nice, France, 2003.
9. Khan MA, Charles H-P, Barthou D. An effective automated approach to specialization of code. Twentieth International Workshop on Languages and Compilers for Parallel Computing, Urbana, IL, U.S.A., 11-13 October 2007.
10. Whaley RC, Dongarra J. Automatically tuned linear algebra software. Technical Report UT-CS-97-366, University of Tennessee, 1997. Available at: http://www.netlib.org/lapack/lawns/lawn131.ps [December 1997].
11. Calder B, Feller P, Eustace A. Value profiling. International Symposium on Microarchitecture, Los Alamitos, CA, U.S.A., 1997; 259-269.
12. Frigo M, Johnson SG. The design and implementation of FFTW3. Proceedings of IEEE 2005; 93(2):216-231.
13. Makholm H. Specializing C - An introduction to the principles behind C-Mix. Technical Report, Computer Science Department, University of Copenhagen, 1999.
14. Grant B, Mock M, Philipose M, Chambers C, Eggers SJ. Annotation-directed run-time specialization in C. Proceedings of the ACM SIGPLAN Symposium on Partial Evaluation and Semantics-based Program Manipulation (PEPM'97). ACM: New York, 1997; 163-178.
15. Consel C, Hornof L, Noël F, Noyé J, Volanschi N. A uniform approach for compile-time and run-time specialization. Partial Evaluation International Seminar, Dagstuhl Castle, Germany. Springer: Berlin, Germany, 1996; 54-72.
16. Bala V, Duesterwald E, Banerjia S. Dynamo: A transparent dynamic optimization system. ACM SIGPLAN Notices 2000; 35(5): 1-12.
17. Khan MA, Charles H-P. Applying code specialization to FFT libraries for integral parameters. Nineteenth International Workshop on Languages and Compilers for Parallel Computing, New Orleans, U.S.A., 2-4 November 2006.