Abstract
Power efficiency has become a key design trade-off in embedded system designs. For system-on-a-chip embedded systems, an external bus interconnects embedded processor cores, I/O peripherals, a direct memory access (DMA) controller, and off-chip memory. External memory access activities are a major source of energy consumption in embedded systems, and especially in multimedia platforms. In this paper, we focus on the energy dissipated due to the address, data, and control activity on the external bus and supporting logic. We build our external bus power model on top of a cycle-accurate simulation framework that quantifies the bus power based on memory bus state transitions. We select an Analog Devices ADSP-BF533 multimedia system-on-a-chip embedded system as our target architecture model. Using our power-aware external bus arbitration schemes, we can reduce overall power by as much as 18% in video processing applications, and by 12% on average for the test suites studied. Besides reducing power consumption, we also obtained an average performance speedup of 24% when using our power-aware arbitration schemes.
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Benini, L., De Micheli, G., Macii, E., Sciuto, D., Silvano, C.: Address bus encoding techniques for system-level power optimization. In: Proceedings of the Conference on Design, Automation and Test in Europe, pp. 861–867. IEEE Computer Society, Los Alamitos (1998)
Panda, P.R., Dutt, N.D.: Reducing address bus transitions for low power memory mapping. In: Proceedings of the 1996 European Conference on Design and Test, p. 63. IEEE Computer Society, Los Alamitos (1996)
Analog Devices Inc. Norwood, MA: Engineer-to-Engineer Note EE-229: Estimating Power for ADSP-BF533 Blackfin Processors, Rev 1.0 (2004)
Givargis, T.D., Vahid, F., Henkel, J.: Fast cache and bus power estimation for parameterized system-on-a-chip design. In: Proceedings of the Conference on Design, Automation and Test in Europe (DATE), pp. 333–339. ACM Press, New York (2000)
Sotiriadis, P., Chandrakasan, A.: Low-power bus coding techniques considering inter-wire capacitances. In: Proceedings of IEEE Conference on Custom Integrated Circuits (CICC 2000), pp. 507–510 (2000)
Stan, M., Burleson, W.: Bus-invert coding for low-power I/O. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 49–58 (1995)
Ning, K., Kaeli, D.: Bus power estimation and power-efficient bus arbitration for system-on-a-chip embedded systems. In: Falsafi, B., VijayKumar, T.N. (eds.) PACS 2004. LNCS, vol. 3471, pp. 95–106. Springer, Heidelberg (2005)
Rixner, S., Dally, W.J., Kapasi, U.J., Mattson, P., Owens, J.D.: Memory access scheduling. In: ISCA 2000: Proceedings of the 27th Annual International Symposium on Computer Architecture, pp. 128–138. ACM Press, New York (2000)
Lyuh, C.G., Kim, T.: Memory access scheduling and binding considering energy minimization in multi-bank memory systems. In: DAC ’04: Proceedings of the 41st Annual Conference on Design Automation, pp. 81–86. ACM Press, New York (2004)
Rubin, F.: A search procedure for hamilton paths and circuits. J. ACM 21, 576–580 (1974)
VanderSanden, S., Gentile, R., Kaeli, D., Olivadoti, G.: Developing energy-aware strategies for the blackfin processor. In: Proceedings of Annual Workshop on High Performance Embedded Computing, MIT Lincoln Laboratory, Cambridge (2004)
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Ning, K., Kaeli, D. (2005). Power Aware External Bus Arbitration for System-on-a-Chip Embedded Systems. In: Conte, T., Navarro, N., Hwu, Wm.W., Valero, M., Ungerer, T. (eds) High Performance Embedded Architectures and Compilers. HiPEAC 2005. Lecture Notes in Computer Science, vol 3793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11587514_7
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DOI: https://doi.org/10.1007/11587514_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30317-6
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