Hybrid dynamic thermal management based on statistical characteristics of multimedia applications

ABSTRACT

Recently multimedia applications become one of the most popular applications in mobile devices such as wireless phones, PDAs, and laptops. However, typical mobile systems are not equipped with cooling components, which eventually causes critical thermal deficiencies. Although many low-power and low-temperature multimedia playback techniques have been proposed, they failed to provide QoS (Quality of Service) while controlling temperature due to the lack of proper understanding of multimedia applications. We propose Hybrid Dynamic Thermal Management (HDTM) which exploits thermal characteristics of both multimedia applications and systems. Specifically, we model application characteristics as the probability distribution of the number of cycles required to decode a frame. We also improve existing system thermal models by considering the effect of work-load. This scheme finds an optimal clock frequency in order to prevent overheating with minimal performance degradation at runtime.

The proposed scheme is implemented on Linux in a Pentium-M processor which provides variable clock frequencies. In order to evaluate the performance of the proposed scheme, we exploit three major codecs, namely MPEG-4, H.264/AVC and H.264/AVC streaming. Our results show that HDTM lowers the overall temperature by 15°C and the peak temperature by 20°C , while maintaining frame drop ratio under 0.2% compared to previous thermal management schemes such as feedback control DTM [8], Frame-based DTM [5] and GOP-based DTM [15].

REFERENCES

• 1: Apple, "Darwin Streaming Server," available from http://developer.apple.com/.
• 2: Nikhil Bansal , Tracy Kimbrel , Kirk Pruhs, Speed scaling to manage energy and temperature, Journal of the ACM (JACM), v.54 n.1, p.1-39, March 2007 [doi>10.1145/1206035.1206038]
• 3: Nikhil Bansal , Tracy Kimbrel , Kirk Pruhs, Dynamic Speed Scaling to Manage Energy and Temperature, Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science, p.520-529, October 17-19, 2004 [doi>10.1109/FOCS.2004.24]
• 4: Nikhil Bansal , Tracy Kimbrel , Kirk Pruhs, Dynamic Speed Scaling to Manage Energy and Temperature, Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science, p.520-529, October 17-19, 2004 [doi>10.1109/FOCS.2004.24]
• 5: Kihwan Choi , Karthik Dantu , Wei-Chung Cheng , Massoud Pedram, Frame-based dynamic voltage and frequency scaling for a MPEG decoder, Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design, p.732-737, November 10-14, 2002, San Jose, California [doi>10.1145/774572.774680]
• 6: J.E.Sergent and A.Krum, Thermal Management Handbook. McGraw-Hill, 1998.
• 7: Ben Lee , Eriko Nurvitadhi , Reshma Dixit , Chansu Yu , Myungchul Kim, Dynamic voltage scaling techniques for power efficient video decoding, Journal of Systems Architecture: the EUROMICRO Journal, v.51 n.10-11, p.633-652, October/November 2005 [doi>10.1016/j.sysarc.2005.01.002]
• 8: Zhijian Lu , John Lach , Mircea Stan , Kevin Skadron, Reducing Multimedia Decode Power using Feedback Control, Proceedings of the 21st International Conference on Computer Design, p.489, October 13-15, 2003
• 9: PAPI, "Performance API," available from http://icl.cs.utk.edu/papi.
• 10: Johan Pouwelse , Koen Langendoen , Henk Sips, Dynamic voltage scaling on a low-power microprocessor, Proceedings of the 7th annual international conference on Mobile computing and networking, p.251-259, July 2001, Rome, Italy [doi>10.1145/381677.381701]
• 11: Kevin Skadron , Tarek Abdelzaher , Mircea R. Stan, Control-Theoretic Techniques and Thermal-RC Modeling for Accurate and Localized Dynamic Thermal Management, Proceedings of the 8th International Symposium on High-Performance Computer Architecture, p.17, February 02-06, 2002
• 12: Donghwan Son, Dynamic Voltage Scaling on MPEG Decoding, Proceedings of the Eighth International Conference on Parallel and Distributed Systems, p.633, June 26-29, 2001
• 13: Jayanth Srinivasan , Sarita V. Adve, Predictive dynamic thermal management for multimedia applications, Proceedings of the 17th annual international conference on Supercomputing, June 23-26, 2003, San Francisco, CA, USA [doi>10.1145/782814.782831]
• 14: Shengquan Wang , Riccardo Bettati, Reactive Speed Control in Temperature-Constrained Real-Time Systems, Proceedings of the 18th Euromicro Conference on Real-Time Systems, p.161-170, July 05-07, 2006 [doi>10.1109/ECRTS.2006.20]
• 15: I. Yeo, H. K. Lee, K. H. Yum, and E. J. Kim, "Effective Dynamic Thermal Management for MPEG-4 Decoding," in International Conference on Computer Aided Design (ICCD), 2007.
• 16: Wanghong Yuan , Klara Nahrstedt, Energy-efficient soft real-time CPU scheduling for mobile multimedia systems, Proceedings of the nineteenth ACM symposium on Operating systems principles, October 19-22, 2003, Bolton Landing, NY, USA

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.4 PERFORMANCE OF SYSTEMS
      Subjects: Reliability, availability, and serviceability

General Terms:
Management, Measurement, Performance, Reliability

Keywords:
DVFS, dynamic thermal management, multimedia applications, thermal model