Multiobjective optimization and evolutionary algorithms for the application mapping problem in multiprocessor system-on-chip design

IEEE Transactions on Evolutionary Computation

Volumn 10, Issue 3, 2006, Pages 358-374

  Erbas, Cagkan ^a   Cerav Erbas, Selin ^b   Pimentel, Andy D ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Design space exploration; Evolutionary algorithms; Mixed integer programming; Multiobjective optimization; Multiprocessor system on chip (SoC) design

Indexed keywords

CONSTRAINT THEORY; EVOLUTIONARY ALGORITHMS; INTEGER PROGRAMMING; MICROPROCESSOR CHIPS; OPTIMIZATION;

DESIGN SPACE EXPLORATION; MIXED INTEGER PROGRAMMING; MULTIOBJECTIVE OPTIMIZATION; MULTIPROCESSOR SYSTEM-ON-CHIP (SOC) DESIGN;

MULTIPROCESSING SYSTEMS;

EID: 33744752126     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEVC.2005.860766     Document Type: Article

References (46)

1. K. Keutzer, S. Malik, R. Newton, J. Rabaey, and A. Sangiovanni-Vincentelli, "System level design: Orthogonalization of concerns and platform-based design," IEEE Trans. Computer-Aided Design, vol. 19, no. 12, pp. 1523-1543, 2000.
2. F. Balarin, Y. Watanabe, H. Hsieh, L. Lavagno, C. Passerone, and A. Sangiovanni-Vincentelli, "Metropolis: An integrated electronic system design environment," IEEE Computer, vol. 36, no. 4, pp. 45-52, 2003.
3. A. Stammermann, L. Kruse, W. Nebel, A. Pratsch, E. Schmidt, M. Schulte, and A. Schulz, "System level optimization and design space exploration for low power," in Proc. Int. Symp. Systems Synthesis, Oct. 2001, pp. 142-146.
4. T. Givargis, F. Vahid, and J. Henkel, "Instruction-based system-level power evaluation of system-on-a-chip peripheral cores," IEEE Trans. VLSI Syst., vol. 10, pp. 856-863, 2002.
5. J. E. Coffland and A. D. Pimentel. A software framework for efficient system-level performance evaluation of embedded systems. presented at Proc. ACM Symp. Applied Computing. [Online]. Available: http://sesamesim. sourceforge.net/
6. A. D. Pimentel, C. Erbas, and S. Polstra, "A systematic approach to exploring embedded systems architectures at multiple abstraction levels," IEEE Trans. Comput., vol. 55, no. 2, pp. 99-112, Feb. 2006.
7. A. D. Pimentel, P. Lieverse, P. van der Wolf, L. O. Hertzberger, and E. F. Deprettere, "Exploring embedded-systems architectures with Artemis," IEEE Computer, pp. 57-63, Nov. 2001.
8. C. Erbas, S. Cerav-Erbas, and A. D. Pimentel, "A multiobjective optimization model for exploring multiprocessor mappings of process networks," in Proc. Int. Conf. Hardware/Software Codesign and System Synthesis, Oct. 2003, pp. 182-187.
9. J. D. Schaffer, "Multiple objective optimization with vector evaluated genetic algorithms," in Proc. Int. Conf. Genetic Algorithms, 1985, pp. 93-100.
10. C. M. Fonseca and P. J. Flemming, "Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization," in Proc. Int. Conf. Genetic Algorithms, 1993, pp. 416-423.
11. N. Srinivas and K. Deb, "Multiobjective optimization using nondominated sorting in genetic algorithms," Evol. Comput., vol. 2, no. 3, pp. 221-248, 1994.
12. K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan, "A fast elitist nondominated sorting genetic algorithm for multi-objective optimization: NSGA-II," in Parallel Problem Solving from Nature - PPSN VI, M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J. Merelo, and H. Schwefel, Eds. Berlin, Germany: Springer, 2000, pp. 849-858.
13. E. Zitzler, M. Laumanns, and L. Thiele, "SPEA2: Improving the strength pareto evolutionary algorithm for multiobjective optimization," in Evolutionary Methods for Design, Optimization, and Control, K. Giannakoglou, D. Tsahalis, J. Periaux, K. Papailiou, and T. Fogarty, Eds. Barcelona, Spain: CIMNE, 2002, pp. 95-100.
14. M. T. Jensen, "Reducing the run-time complexity of multi-objective EAs: The NSGA-II and other algorithms," IEEE Trans. Evol. Comput., vol. 7, pp. 503-515, 2003.
15. G. G. Yen and L. Haiming, "Dynamic multiobjective evolutionary algorithm: Adaptive cell-based rank and density estimation," IEEE Trans. Evol. Comput., vol. 7, pp. 253-274, 2003.
16. H. Lu and G. G. Yen, "Rank-density-based multiobjective genetic algorithm and benchmark test function study," IEEE Trans. Evol. Comput., vol. 7, pp. 325-343, 2003.
17. T. Blickle, J. Teich, and L. Thiele, "System-level synthesis using evolutionary algorithms," Design Autom. Embed. Syst., vol. 3, no. 1, pp. 23-58, 1998.
18. R. P. Dick and N. K. Jha, "MOGAC: A multiobjective genetic algorithm for hardware-software co-synthesis of distributed embedded systems," IEEE Trans. Computer-Aided Design, pp. 920-935, Oct. 1998.
19. L. Thiele, S. Chakraborty, M. Gries, and S. Künzli, "A framework for evaluating design tradeoffs in packet processing architectures," in Proc. Design Automation Conf., Jun. 2002, pp. 880-885.
20. T. Givargis, F. Vahid, and J. Henkel, "System-level exploration for pareto-optimal configurations in parameterized system-on-a-chip," IEEE Trans. VLSI Syst, vol. 10, pp. 416-422, 2002.
21. T. Givargis and F. Vahid, "Platune: A tuning framework for system-on-a-chip platforms," IEEE Trans. Computer-Aided Design, vol. 21, pp. 1317-1327, 2002.
22. G. Ascia, V. Catania, and M. Palesi, "A GA-based design space exploration framework for parameterized system-on-a-chip platforms," IEEE Trans. Evol. Comput, vol. 8, pp. 329-346, 2004.
23. R. Szymanek, F. Catthoor, and K. Kuchcinski, "Time-energy design space exploration for multi-layer memory architectures," in Proc. Design, Automation Test Eur., Feb. 2004, pp. 10318-10323.
24. G. Alpaydin, S. Balkir, and G. Dundar, "An evolutionary approach to automatic synthesis of high-performance analog integrated circuits," IEEE Trans. Evol. Comput, vol. 7, pp. 240-252, 2003.
25. M. S. Bright and T. Arslan, "Synthesis of low-power DSP systems using a genetic algorithm," IEEE Trans. Evol. Comput, vol. 5, pp. 27-40, 2001.
26. J. C. Gallagher, S. Vigraham, and G. Kramer, "A family of compact genetic algorithms for intrinsic evolvable hardware," IEEE Trans. Evol. Comput., vol. 8, pp. 111-126, 2004.
27. G. Kahn, "The semantics of a simple language for parallel programming," in Proc. IFIP Congress, 1974, pp. 471-475.
28. R. E. Steuer and E. U. Choo, "An interactive weighted Tchebycheff procedure for multiple objective programming," Math. Program., vol. 26, pp. 326-344, 1983.
29. M. Ehrgott, Multicriteria Optimization, ser. Lecture Notes in Economics and Mathematical Systems. Heidelberg, Germany: Springer-Verlag, 2000.
30. R. E. Steuer, "An overview in graphs of multiple objective programming," in Proc. Int. Conf. Evolutionary Multi-Criterion Optimization, vol. 1993, LNCS, E. Zitzler, K. Deb, L. Thiele, C. A. Coello Coello, and D. Corne, Eds., 2001, pp. 41-51.
31. C. A. Coello Coello, "Guest editorial: Special issue on evolutionary multiobjective optimization," IEEE Trans. Evol. Comput, vol. 7, pp. 97-99, 2003.
32. C. A. Coello Coello, D. A. Van Veldhuizen, and G. B. Lamont, Evolutionary Algorithms for Solving Multi-Objective Problems. New York: Kluwer Academic, 2002.
33. D. Beasley, D. Bull, and R. Martin, "An overview of genetic algorithms: Part 1, fundamentals," Univ. Comput, vol. 15, no. 2, pp. 58-69, 1993.
34. M. Laumanns, E. Zitzler, and L. Thiele, "A unified model for multi-objective evolutionary algorithms with elitism," in Proc. Congr. Evolutionary Computation, 2000, pp. 46-53.
35. E. Zitzler, K. Deb, and L. Thiele, "Comparison of multiobjective evolutionary algorithms: Empirical results," Evol. Comput., vol. 8, no. 2, pp. 173-195, 2000.
36. E. Zitzler, "Evolutionary algorithms for multiobjective optimization: methods and applications," Ph.D. dissertation, Swiss Federal Inst. of Technology, Zurich, 1999.
37. G. Rudolph, "Evolutionary search under partially ordered fitness sets," in Proc. Int. NAISO Congr. Information Science Innovations, M. F. Sebaaly, Ed., Millet, Canada, 2001, pp. 818-822.
38. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley, 1989.
39. W. Spears, "Crossover or mutation?," in Proc. Workshop Foundations Genetic Algorithms, Jul. 1992, pp. 221-237.
40. G. Syswerda, "Uniform crossover in genetic algorithms," in Proc. Int. Conf. Genetic Algorithms, 1989, pp. 2-9.
41. K. Deb, Multi-Objective Optimization Using Evolutionary Algorithms. New York: Wiley, 2001.
42. J. Knowles and D. Corne, "On metrics for comparing nondominated sets," Proc. Congr. Evolutionary Computation, pp. 711-716, May 2002.
43. A. D. Pimentel, S. Polstra, F. Terpstra, A. W. van Halderen, J. E. Coffland, and L. O. Hertzberger, "Toward efficient design space exploration of heterogeneous embedded media systems," in Embedded Processor Design Challenges: Systems, Architectures, Modeling, and Simulation. ser.LNCS, E. Deprettere, J. Teich, and S. Vassiliadis, Eds. Berlin, Germany: Springer-Verlag, 2002, vol. 2268, pp. 57-73.
44. E. A. de Kock, "Multiprocessor mapping of process networks: A JPEG decoding case study," in Proc. Int. Symp. System Synthesis, Oct. 2002, pp. 68-73.
45. S. Bleuler, M. Laumanns, L. Thiele, and E. Zitzler, "PISA - A platform and programming language independent interface for search algorithms," in Evolutionary Multi-Criterion Optimization (EMO 2003). ser. LNCS, C. M. Fonseca, P. J. Fleming, E. Zitzler, K. Deb, and L. Thiele, Eds. Berlin, Germany: Springer-Verlag, 2003, vol. 2632, pp. 494-508.
46. P. Lieverse, T. Stefanov, P. van der Wolf, and E. F. Deprettere, "System level design with spade: An M-JPEG case study," in Proc. Int. Conf. Computer Aided Design, Nov. 2001, pp. 31-38.