Scientific and Technical Journal

ELECTROTECHNIC AND COMPUTER SYSTEMS

ISSN Print 2221-3937
ISSN Online 2221-3805
ESTIMATION OF POWER CONSUMPTION DISTRIBUTION IN FPGA-PROJECTS
Abstract:

Green hardware decisionsoccupy a special place in development of computer systems and their components, implementing a general orientation towards energy saving as well as a necessary condition of low power consumption in improvement of autonomous and, in particular, mobile systems. Modern design of digital units is executed with use of programmable logic devices in form of FPGA-projects supported by green-oriented CAD. 

The static and dynamic constituents of power consumption are calculated for internal elements and outputs of the circuit. Power consumption is represented by current, expressed in milliamps subject to constant voltage. These indicators are integral for entire FPGA-project, leaving unanswered the question of distribution of power consumption inside the scheme solution that can be used for correction of the most power intensive parts of the circuit. First of all, this drawback relates to estimations of the most significant dynamic constituents of power consumption of FPGA-project, which depend on scheme signal activity.

Green-orientation of modern CAD systems based on Altera Quartus II and build-in utility PowerPlay Power Analyzer, allowing to optimize and to estimate FPGA-project by power consumption within the scope of signal activity management is regarded in this paper. Set of experiments show the importance of optimizing FPGA-project with its actual signals activity. Method for estimation of FPGA-project’s dynamic power consumption component distribution between parts of its scheme is offered. Method determines contribution of separate parts of the scheme to project’s power consumption by lowering signals activity, common for other parts of the scheme, for example, clock signals.

Authors:
Keywords
DOI
10.15276/etks.13.89.2014.27
References

1.  Shu W.C. Sustainable ICTS and Management Systems for Green Computing, (2012), IGI Global, ISBN-10: 1466618396, ISBN-13: 978-1466618398.

2.  Khan S.U., et. al. Evolutionary Based Solutions for Green Computing, Springer, (2013), Berlin Heidelberg.

3.  Smith B.E. Green Computing: Tools and Techniques for Saving Energy, Money, and Resources, CRC Press, ISBN-10: 1466503408, (2013), ISBN-13: 978-1466503403.

4.  Kharchenko V.S., Sklyar V.V. (edits). FPGA-based NPP I&C Systems: Development and Safety Assessment, (2008), Kirovograd: RPC Radiy, Kharkov: National Aerospace University named after N.Е. Zhukovsky “KhAI”, SSTC on Nuclear and Radiation Safety, 188 p.

5.  Witting R., and Chow P. OneChip: An FPGA Processor with Reconfigurable Logic. IEEE Symposium on FPGAs for Custom Computing Machines, (1996), Los-Alamitos, CA, IEEE Computer Society Press, pp. 126 – 135.

6.  Netlist Optimizations and Physical Synthesis. Qii52007-2.0. Quartus II Handbook, (2004), Altera Corporation, Vol. 2.

7.  Design Optimization for Altera Devices. Qii52005-2.0, (2004), Quartus II Handbook, Altera Corporation, Vol. 2.,

8. PowerPlay Early Power Estimator. User Guide, Altera Corporation, June 2013.

9. Power Estimation and Analysis. Qii5v3_03. Quartus II Handbook Version 11.0,. Altera Corporation, Vol. 3, December 2010.

10. PowerPlay Power Analysis. Qii53013. Quartus II Handbook, (2013), Altera Corporation.

11. Chandracasan A.P., Sheng R., Brodersen S. Low-Power CMOS Digital Design, (1992), IEEE Journal of solid-state circuits, Vol. 27, No. 4, pp. 473 – 484.

Published:
Last download:
2017-11-16 20:19:34

[ © KarelWintersky ] [ All articles ] [ All authors ]
[ © Odessa National Polytechnic University, 2014. Any use of information from the site is possible only under the condition that the source link! ]
Яндекс.Метрика