Abstract
This chapter describes necessary adaptation needed for the system scenario approach to work in the presence of data variables. After a brief introduction to the difference between control and data variable dependencies, we present techniques for scenario identification, scenario detection, and scenario switching. Finally, we show results from a real-life video encoder, demonstrating up to a factor of two energy reduction while maintaining the perceptual video quality and frame rate.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
M. Ashouei et al., A voltage-scalable biomedical signal processor running ECG using 13 pj/cycle at 1 mhz and 0.4 v, in Proceedings IEEE International Solid-State Circuits Conference (ISSCC) (2011), pp. 332–334
M.J. Atallah, M. Blanton (eds.), Algorithms and Theory of Computation Handbook: Special Topics and Techniques, 2nd edn. (Chapman & Hall/CRC, New York, 2010)
Atmel, SAM4L Xplained Pro user guide (2014)
M. Baka, F. Catthoor, D. Soudris, Proposed evaluation framework for exploration of smart PV module topologies, in European Photovoltaic Solar Energy Conference (PVSEC), Munich, Germany (2016), pp. 176–179
B. Chazelle, J. Friedman, Point location among hyperplanes and unidirectional ray-shooting. Comput. Geom. 4(2), 53–62 (1994)
I. Filippopoulos, F. Catthoor, P.G. Kjeldsberg, Exploration of energy efficient memory organisations for dynamic multimedia applications using system scenarios, Des. Autom. Embed. Syst. 17(3–4), 669–692 (2013)
E. Hammari, F. Catthoor, P.G. Kjeldsberg, J. Huisken, K. Tsakalis and L. Iasemidis, Identifying data-dependent system scenarios in a dynamic embedded system, in The International Conference on Engineering of Reconfigurable Systems and Algorithms (ERSA’12), Las Vegas, USA (2012)
E. Hammari, P.G. Kjeldsberg, F. Catthoor, Run-time precomputation of data-dependent parameters in embedded systems. ACM Trans. Embed. Comput. Syst. 17(3), Article No. 68 (2018)
L. Iasemidis, Seizure prediction and its applications. Neuroimaging Clin. N. Am. 22, 489–506 (2011)
L. Iasemidis et al., Long-term prospective on-line real-time seizure prediction. Clin. Neuropathol. 116, 532–544 (2005)
M. Kallay, The complexity of incremental convex hull algorithms in R^d. Inf. Process. Lett. 19(4), 197 (1984)
C. Lee et al., MediaBench: a tool for evaluating and synthesizing multimedia and communications systems, in Proceedings of the Thirtieth Annual IEEE/ACM International Symposium on Microarchitecture (1997), pp. 330–335
Z. Ma et al., Systematic Methodology for Real-Time Cost-Effective Mapping of Dynamic Concurrent Task-Based Systems on Heterogenous Platforms (Berlin, Springer Publishing Company, 2007), ISBN 978-1-4020-6328-2
National Instruments, NI myDAQ measurement board, http://www.ni.com/mydaq on December 7, 2015
S. Sun, D. Wang, S. Chen, A highly efficient parallel algorithm for H.264 encoder based on macro-block region partition, in High Performance Computing and Communications. Lecture Notes in Computer Science, vol. 4782 (2007)
Y. Yassin, P.G. Kjeldsberg, A. Perkis, F. Catthoor, Dynamic hardware management of the H264/AVC encoder control structure using a framework for system scenarios, in Euromicro Conference on Digital System Design, DSD 2016, Limassol, Cyprus (August, September 2016)
Y. Yassin, P.G. Kjeldsberg, A. Perkis, F. Catthoor, Techniques for dynamic hardware management of streaming media applications using a framework for system scenarios, Microprocess. Microsyst. 56, 157–168 (2018). https://doi.org/10.1016/j.micpro.2017.12.002
Z. Zhao, P. Liang, A highly efficient parallel algorithm for H.264 video encoder, in 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, Toulouse, France (May 2006)
Acknowledgements
The research leading to these results has in part been performed within the context of the dual-PhD agreement between KU Leuven and NTNU. Furthermore, the authors would like to thank Associate Professor Sverre Hendseth at NTNU for his many contributions to the research.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Hammari, E., Yassin, Y.H., Filippopoulos, I., Catthoor, F., Kjeldsberg, P.G. (2020). System-Scenario-based Design Techniques in the Presence of Data Variables. In: System-Scenario-based Design Principles and Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-20343-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-20343-6_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20342-9
Online ISBN: 978-3-030-20343-6
eBook Packages: EngineeringEngineering (R0)