| Storage assignment optimizations through variable coalescence for embedded processors |
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Language, Compiler and Tool Support for Embedded Systems
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Proceedings of the 2003 ACM SIGPLAN conference on Language, compiler, and tool for embedded systems
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San Diego, California, USA
SESSION: Partitioning and memory optimizations
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Pages: 220 - 231
Year of Publication: 2003
ISBN:1-58113-647-1
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Downloads (6 Weeks): 9, Downloads (12 Months): 30, Citation Count: 7
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ABSTRACT
Modern embedded processors with dedicated address generation unit support memory access with indirect addressing mode with auto-increment and decrement. The auto-increment/decrement mode saves address arithmetic instructions.Liao et al [2][3] categorized this problem as simple offset assignment (SOA) problem and general offset assignment (GOA) problem, which involve storage layout of variables and assignment of address registers respectively proposing heuristic solutions. Later work [6][7] proposed improvements in the performance of Liao's solution by undertaking program and storage transformations that affect access sequence.The algorithms are incorporated into and evaluated on the commercial compiler provided by Motorola to boost code generation performance on the DSP 56k chip. Compared to previous approaches, variable coalescence with program reordering reduces SOA costs by 48% and GOA (2AR) costs by 66% for Mediabench and SPEC benchmarks. Moreover, we show that our approach obtains theoretically optimal solution (zero cost) for the GOA problem in 87% of the cases with just 2 address registers and in 94% of the cases with 3 address registers.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Stan Liao , Srinivas Devadas , Kurt Keutzer , Steve Tjiang , Albert Wang, Storage assignment to decrease code size, Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation, p.186-195, June 18-21, 1995, La Jolla, California, United States
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A. Sudarsanam , S. Malik , S. Tjiang , S. Liao, Optimization of Embedded DSP Programs Using Post-Pass Data-Flow Analysis, Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1, p.695, April 21-24, 1997
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Ashok Sudarsanam , Stan Liao , Srinivas Devadas, Analysis and evaluation of address arithmetic capabilities in custom DSP architectures, Proceedings of the 34th annual conference on Design automation, p.287-292, June 09-13, 1997, Anaheim, California, United States
[doi> 10.1145/266021.266103]
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A. Rao Compiler Optimizations for Storage Assignment on Embedded DSPs. Master's thesis, Dept. of ECECS, Univ. of Cincinnati, Oct. 1998.
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Motorola, Inc., Motorola DSP56300 Family Optimizing C Compiler User's Manual.
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Leupers, R., Basu, A., and Marwedel, P, "Optimized array index computation in DSP programs", In Proceedings of the ASP-DAC (February 1998), IEEE.
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Alfred V. Aho , Ravi Sethi , Jeffrey D. Ullman, Compilers: principles, techniques, and tools, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1986
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CITED BY 7
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Sean Leventhal , Lin Yuan , Neal K. Bambha , Shuvra S. Bhattacharyya , Gang Qu, DSP address optimization using evolutionary algorithms, Proceedings of the 2005 workshop on Software and compilers for embedded systems, p.91-98, September 29-October 01, 2005, Dallas, Texas
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