Abstract
We present an approach which schedules task sets using scratchpad memory (SPM) in an embedded multi-task system with real-time constraints. A new task model is introduced, where each task is represented by different pre-compiled variants which differ in the amount of scratchpad memory used. A higher use of SPM leads to smaller run-times of a task. Moreover, the energy consumption is reduced by replacing memory accesses by SPM accesses. Our heuristic method assembles a task set of these variants by choosing one variant per task. After selecting candidates from the pre-computed set of task variants, the task set can be handled by a real-time scheduler like EDF. Our approach is able to build a new incremental task set and feasible transition in dynamically changing environments. Furthermore we show an extension of our approach to multicore environments.
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References
Angiolini, F., Menichelli, F., Ferrero, A., Benini, L., Olivieri, M.: A post-compiler approach to scratchpad mapping of code. In: CASES (2004)
Avissar, O., Barua, R., Stewart, D.: An optimal memory allocation scheme for scratch-pad-based embedded systems. ACM Trans. Embed. Comput. Syst. 1, 6–26 (2002)
Banakar, R., Steinke, S., Lee, B.S., Balakrishnan, M., Marwedel, P.: Scratchpad memory: a design alternative for cache on-chip memory in embedded systems. In: CODES (2002)
Benini, L., Bertozzi, D., Bogliolo, A., Menichelli, F., Olivieri, M.: MPARM: Exploring the multi-processor SOC design space with systemc. J. VLSI Signal Process. Syst. 41, 169–182 (2005)
Dominguez, A., Udayakumaran, S., Barua, R.: Heap data allocation to scratch-pad memory in embedded systems. J. Embed. Comput. 1, 521–540 (2005)
Dudziński, K., Walukiewicz, S.: Exact methods for the knapsack problem and its generalizations. Eur. J. Oper. Res. 28, 2–3 (1987)
Egger, B., Lee, J., Shin, H.: Dynamic scratchpad memory management for code in portable systems with an MMU. ACM Trans. Embed. Comput. Syst. 7, 11 (2008)
Falk, H., Kleinsorge, J.: Optimal static wcet-aware scratchpad allocation of program code. In: DAC (2009)
Falk, H., Lokuciejewski, P.: A compiler framework for the reduction of worst-case execution times. Real-Time Syst. 46, 251–300 (2010)
Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completeness. W. H. Freeman, New York (1979)
Guthaus, M.R., Ringenberg, J.S., Ernst, D., Austin, T.M., Mudge, T., Brown, R.B.: Mibench: A free, commercially representative embedded benchmark suite. In: WWC-4 (2001)
Kellerer, H., Pferschy, U., Pisinger, D.: Knapsack Problems. Springer, Heidelberg (2004)
Liu, C.L., Layland, J.W.: Scheduling algorithms for multiprogramming in a hard-real-time environment. J. ACM 20, 46–61 (1973)
Optimization, G., et al.: Gurobi optimizer reference manual (2012). http://www.gurobi.com
Panda, P.R., Dutt, N.D., Nicolau, A.: Efficient utilization of scratch-pad memory in embedded processor applications. In: ED & TC (1997)
Pisinger, D.: Algorithms for Knapsack Problems. Ph.D. thesis, DIKU, University of Copenhagen, Denmark (1995)
Poletti, F., Marchal, P., Atienza, D., Benini, L., Catthoor, F., Mendias, J.M.: An integrated hardware/software approach for run-time scratchpad management. In: DAC (2004)
Sjödin, J., von Platen, C.: Storage allocation for embedded processors. In: CASES (2001)
Steinke, S., Wehmeyer, L., Lee, B., Marwedel, P.: Assigning program and data objects to scratchpad for energy reduction. In: DATE (2002)
Suhendra, V., Mitra, T., Roychoudhury, A., Chen, T.: WCET centric data allocation to scratchpad memory. In: RTSS (2005)
Udayakumaran, S., Barua, R.: Compiler-decided dynamic memory allocation for scratch-pad based embedded systems. In: CASES (2003)
Verma, M., Petzold, K., Wehmeyer, L., Falk, H., Marwedel, P.: Scratchpad sharing strategies for multiprocess embedded systems: a first approach. In: Embedded Systems for Real-Time Multimedia (2005)
Verma, M., Wehmeyer, L., Marwedel, P.: Cache-aware scratchpad allocation algorithm. In: DATE (2004)
Verma, M., Wehmeyer, L., Pyka, R., Marwedel, P., Benini, L.: Compilation and simulation tool chain for memory aware energy optimizations. In: Vassiliadis, S., Wong, S., Hämäläinen, T.D. (eds.) SAMOS 2006. LNCS, vol. 4017, pp. 279–288. Springer, Heidelberg (2006)
Whitham, J., Audsley, N.: Explicit reservation of local memory in a predictable, preemptive multitasking real-time system. In: RTAS (2012)
Whitham, J., Davis, R.I., Audsley, N.C., Altmeyer, S., Maiza, C.: Investigation of scratchpad memory for preemptive multitasking. In: RTSS (2012)
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Böhnert, M., Scholl, C. (2016). Task Variants with Different Scratchpad Memory Consumption in Multi-Task Environments. In: Hannig, F., Cardoso, J.M.P., Pionteck, T., Fey, D., Schröder-Preikschat, W., Teich, J. (eds) Architecture of Computing Systems – ARCS 2016. ARCS 2016. Lecture Notes in Computer Science(), vol 9637. Springer, Cham. https://doi.org/10.1007/978-3-319-30695-7_11
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DOI: https://doi.org/10.1007/978-3-319-30695-7_11
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