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ABSTRACT

Various scratchpad allocation strategies have been developed in the past. Most of them target the reduction of energy consumption. These approaches share the necessity of having direct access to the scratchpad memory. In earlier embedded systems this was always true, but with the increasing complexity of tasks systems have to perform, an additional operating system layer between the hardware and the application is becoming mandatory. This paper presents an approach to integrate a scratchpad memory manager into the operating system. The goal is to minimize energy consumption. In contrast to previous work, compile time knowledge about the application's behavior is taken into account. A set of fast heuristic allocation methods is proposed in this paper. An in-depth study and comparison of achieved energy savings and cycle reductions was performed. The results show that even in the highly dynamic environment of an operating system equipped embedded system, up to 83% energy consumption reduction can be achieved.

REFERENCES

• 1: Federico Angiolini , Luca Benini , Alberto Caprara, Polynomial-time algorithm for on-chip scratchpad memory partitioning, Proceedings of the 2003 international conference on Compilers, architecture and synthesis for embedded systems, October 30-November 01, 2003, San Jose, California, USA [doi>10.1145/951710.951751]
• 2: F. Angiolini, L. Benini, and A. Caprara. An efficient profile-based algorithm for scratchpad memory partitioning. IEEE Transactions on CAD of Integrated Circuits and Systems, 24(11):1660--1676, 2005.
• 3: Rajeshwari Banakar , Stefan Steinke , Bo-Sik Lee , M. Balakrishnan , Peter Marwedel, Scratchpad memory: design alternative for cache on-chip memory in embedded systems, Proceedings of the tenth international symposium on Hardware/software codesign, May 06-08, 2002, Estes Park, Colorado [doi>10.1145/774789.774805]
• 4: Michael R. Garey , David S. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness, W. H. Freeman & Co., New York, NY, 1979
• 5: M. R. Guthaus , J. S. Ringenberg , D. Ernst , T. M. Austin , T. Mudge , R. B. Brown, MiBench: A free, commercially representative embedded benchmark suite, Proceedings of the Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop on, p.3-14, December 02-02, 2001 [doi>10.1109/WWC.2001.15]
• 6: ICD - Informatik Centrum Dortmund e.V. ICD-C Compiler framework. http://www.icd.de/es/icd-c/icd-c.html, 2006.
• 7: M. Kandemir , J. Ramanujam , J. Irwin , N. Vijaykrishnan , I. Kadayif , A. Parikh, Dynamic management of scratch-pad memory space, Proceedings of the 38th conference on Design automation, p.690-695, June 2001, Las Vegas, Nevada, United States [doi>10.1145/378239.379049]
• 8: Alvin R. Lebeck , Xiaobo Fan , Heng Zeng , Carla Ellis, Power aware page allocation, Proceedings of the ninth international conference on Architectural support for programming languages and operating systems, p.105-116, November 2000, Cambridge, Massachusetts, United States [doi>10.1145/378993.379007]
• 9: Mirko Loghi , Federico Angiolini , Davide Bertozzi , Luca Benini , Roberto Zafalon, Analyzing On-Chip Communication in a MPSoC Environment, Proceedings of the conference on Design, automation and test in Europe, p.20752, February 16-20, 2004
• 10: Stylianos Mamagkakis , David Atienza , Christophe Poucet , Francky Catthoor , Dimitrios Soudris , Jose M. Mendias, Automated exploration of pareto-optimal configurations in parameterized dynamic memory allocation for embedded systems, Proceedings of the conference on Design, automation and test in Europe: Proceedings, March 06-10, 2006, Munich, Germany
• 11: OAR Corporation. RTEMS Homepage. http://www.rtems.com/, 2003.
• 12: Preeti Ranjan Panda , Alexandru Nicolau , Nikil Dutt, Memory Issues in Embedded Systems-on-Chip: Optimizations and Exploration, Kluwer Academic Publishers, Norwell, MA, 1998
• 13: Poletti Francesco , Paul Marchal , David Atienza , Luca Benini , Francky Catthoor , Jose M. Mendias, An integrated hardware/software approach for run-time scratchpad management, Proceedings of the 41st annual conference on Design automation, June 07-11, 2004, San Diego, CA, USA [doi>10.1145/996566.996634]
• 14: S. Steinke , L. Wehmeyer , B. Lee , P. Marwedel, Assigning Program and Data Objects to Scratchpad for Energy Reduction, Proceedings of the conference on Design, automation and test in Europe, p.409, March 04-08, 2002
• 15: M. Verma, K. Petzold, L. Wehmeyer, H. Falk, and P. Marwedel. Scratchpad sharing strategies for multiprocess embedded systems: A first approach. In Proceedings of 3rd Workshop on Embedded System for Real-Time Multimedia (ESTIMedia). IEEE, 2005.
• 16: Manish Verma , Lars Wehmeyer , Peter Marwedel, Cache-Aware Scratchpad Allocation Algorithm, Proceedings of the conference on Design, automation and test in Europe, p.21264, February 16-20, 2004
• 17: Lars Wehmeyer , Urs Helmig , Peter Marwedel, Compiler-optimized usage of partitioned memories, Proceedings of the 3rd workshop on Memory performance issues: in conjunction with the 31st international symposium on computer architecture, p.114-120, June 20-20, 2004, Munich, Germany [doi>10.1145/1054943.1054959]
• 18: Paul R. Wilson , Mark S. Johnstone , Michael Neely , David Boles, Dynamic Storage Allocation: A Survey and Critical Review, Proceedings of the International Workshop on Memory Management, p.1-116, September 27-29, 1995
• 19: Wm. A. Wulf , Sally A. McKee, Hitting the memory wall: implications of the obvious, ACM SIGARCH Computer Architecture News, v.23 n.1, p.20-24, March 1995 [doi>10.1145/216585.216588]
• 20: Qin Zhao , Rodric Rabbah , Weng-Fai Wong, Dynamic memory optimization using pool allocation and prefetching, ACM SIGARCH Computer Architecture News, v.33 n.5, December 2005 [doi>10.1145/1127577.1127584]